https://www.chessprogramming.org/index.php?title=Learning&feed=atom&action=history
Learning - Revision history
2024-03-28T14:59:42Z
Revision history for this page on the wiki
MediaWiki 1.30.1
https://www.chessprogramming.org/index.php?title=Learning&diff=26154&oldid=prev
GerdIsenberg at 22:18, 18 December 2021
2021-12-18T22:18:44Z
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<td colspan="2" style="background-color: white; color:black; text-align: center;">Revision as of 22:18, 18 December 2021</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Mathematician#VNVapnik|Vladimir Vapnik]] ('''2000'''). ''[http://www.springer.com/us/book/9780387987804 The nature of statistical learning theory]''. [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Mathematician#VNVapnik|Vladimir Vapnik]] ('''2000'''). ''[http://www.springer.com/us/book/9780387987804 The nature of statistical learning theory]''. [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Sebastian Thrun]], [[Michael L. Littman]] ('''2000'''). ''A Review of Reinforcement Learning''. [http://www.informatik.uni-trier.de/~ley/db/journals/aim/aim21.html#ThrunL00 AI Magazine, Vol. 21], No. 1</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Sebastian Thrun]], [[Michael L. Littman]] ('''2000'''). ''A Review of Reinforcement Learning''. [http://www.informatik.uni-trier.de/~ley/db/journals/aim/aim21.html#ThrunL00 AI Magazine, Vol. 21], No. 1</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[Johannes Fürnkranz]] ('''2000'''). ''Machine Learning in Games: A Survey''. [https://en.wikipedia.org/wiki/Austrian_Research_Institute_for_Artificial_Intelligence Austrian Research Institute for Artificial Intelligence], OEFAI-TR-2000-3, [<del class="diffchange diffchange-inline">http</del>://<del class="diffchange diffchange-inline">www</del>.<del class="diffchange diffchange-inline">ofai</del>.<del class="diffchange diffchange-inline">at</del>/<del class="diffchange diffchange-inline">cgi-bin</del>/<del class="diffchange diffchange-inline">get-tr?download=1&paper=</del>oefai-tr-2000-31.pdf pdf]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Johannes Fürnkranz]] ('''2000'''). ''Machine Learning in Games: A Survey''. [https://en.wikipedia.org/wiki/Austrian_Research_Institute_for_Artificial_Intelligence Austrian Research Institute for Artificial Intelligence], OEFAI-TR-2000-3, [<ins class="diffchange diffchange-inline">https</ins>://<ins class="diffchange diffchange-inline">fmfi-uk</ins>.<ins class="diffchange diffchange-inline">hq</ins>.<ins class="diffchange diffchange-inline">sk/Informatika</ins>/<ins class="diffchange diffchange-inline">Strojove%20Ucenie</ins>/oefai-tr-2000-31.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Johannes Fürnkranz]], [[Bernhard Pfahringer]], [[Hermann Kaindl]], [[Stefan Kramer]] ('''2000'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=0QXx46sAAAAJ&cstart=20&pagesize=80&citation_for_view=0QXx46sAAAAJ:k_IJM867U9cC Learning to Use Operational Advice]''. ECAI-00, [http://www.ke.informatik.tu-darmstadt.de/%7Ejuffi/publications/ecai-00.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Johannes Fürnkranz]], [[Bernhard Pfahringer]], [[Hermann Kaindl]], [[Stefan Kramer]] ('''2000'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=0QXx46sAAAAJ&cstart=20&pagesize=80&citation_for_view=0QXx46sAAAAJ:k_IJM867U9cC Learning to Use Operational Advice]''. ECAI-00, [http://www.ke.informatik.tu-darmstadt.de/%7Ejuffi/publications/ecai-00.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Jack van Rijswijck]] ('''2000'''). ''[http://link.springer.com/chapter/10.1007/3-540-45579-5_8 Learning from Perfection: A Data Mining Approach to Evaluation Function Learning in Awari]''. [[CG 2000]], [http://sites.google.com/site/javhar1/LearningFromPerfection.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Jack van Rijswijck]] ('''2000'''). ''[http://link.springer.com/chapter/10.1007/3-540-45579-5_8 Learning from Perfection: A Data Mining Approach to Evaluation Function Learning in Awari]''. [[CG 2000]], [http://sites.google.com/site/javhar1/LearningFromPerfection.pdf pdf]</div></td></tr>
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GerdIsenberg
https://www.chessprogramming.org/index.php?title=Learning&diff=25490&oldid=prev
GerdIsenberg at 07:58, 5 July 2021
2021-07-05T07:58:50Z
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<td colspan="2" style="background-color: white; color:black; text-align: center;">Revision as of 07:58, 5 July 2021</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Gerald Tesauro]] ('''1992'''). ''[http://dl.acm.org/citation.cfm?id=139616 Practical Issues in Temporal Difference Learning]''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 8, No. 3-4</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Gerald Tesauro]] ('''1992'''). ''[http://dl.acm.org/citation.cfm?id=139616 Practical Issues in Temporal Difference Learning]''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 8, No. 3-4</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Manuela Veloso]] ('''1992'''). ''[http://search.library.cmu.edu/vufind/Record/421096 Learning by Analogical Reasoning in General Purpose Problem Solving]''. Ph.D. thesis, [[Carnegie Mellon University]], advisor [[Jaime Carbonell]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Manuela Veloso]] ('''1992'''). ''[http://search.library.cmu.edu/vufind/Record/421096 Learning by Analogical Reasoning in General Purpose Problem Solving]''. Ph.D. thesis, [[Carnegie Mellon University]], advisor [[Jaime Carbonell]]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Chris J. Thornton]] ('''1992'''). ''Techniques in Computational Learning: An Introduction''. [https://en.wikipedia.org/wiki/Chapman_%26_Hall Chapman & Hall]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''1993'''</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''1993'''</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Michael Gherrity]] ('''1993'''). ''A Game Learning Machine''. Ph.D. Thesis, [http://de.wikipedia.org/wiki/University_of_California,_San_Diego University of California, San Diego], [http://www.gherrity.org/thesis.ps.gz zipped ps]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Michael Gherrity]] ('''1993'''). ''A Game Learning Machine''. Ph.D. Thesis, [http://de.wikipedia.org/wiki/University_of_California,_San_Diego University of California, San Diego], [http://www.gherrity.org/thesis.ps.gz zipped ps]</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l311" >Line 311:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''2000'''). ''Learning to Play Chess Using Temporal Differences''. [http://www.dblp.org/db/journals/ml/ml40.html#BaxterTW00 Machine Learning, Vol 40, No. 3], [http://www.cs.princeton.edu/courses/archive/fall06/cos402/papers/chess-RL.pdf pdf]  </div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''2000'''). ''Learning to Play Chess Using Temporal Differences''. [http://www.dblp.org/db/journals/ml/ml40.html#BaxterTW00 Machine Learning, Vol 40, No. 3], [http://www.cs.princeton.edu/courses/archive/fall06/cos402/papers/chess-RL.pdf pdf]  </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Michael Bain]], [[Stephen Muggleton]], [[Ashwin Srinivasan]] ('''2000'''). ''Generalising Closed World Specialisation: A Chess End Game Application''. [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.3499 CitySeerX]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Michael Bain]], [[Stephen Muggleton]], [[Ashwin Srinivasan]] ('''2000'''). ''Generalising Closed World Specialisation: A Chess End Game Application''. [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.3499 CitySeerX]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Chris J. Thornton]] ('''2000'''). ''[https://www.goodreads.com/book/show/1097454.Truth_from_Trash Truth from Trash: How Learning Makes Sense]''. [https://en.wikipedia.org/wiki/MIT_Press Bradford Books] <ref>[[Jean Hayes Michie]] ('''2001'''). ''[https://www.aaai.org/ojs/index.php/aimagazine/article/view/1599/0 Machine Learning and Light Relief: A Review of Truth from Trash]''. [[AAAI#AIMAG|AI Magazine]], Vol. 22 No. 4, [http://www.aaai.org/ojs/index.php/aimagazine/article/download/1599/1498 pdf]</ref></ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''2001'''</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''2001'''</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Nicol N. Schraudolph]], [[Peter Dayan]], [[Terrence J. Sejnowski]]  ('''2001'''). ''[http://nic.schraudolph.org/bib2html/b2hd-SchDaySej01.html Learning to Evaluate Go Positions via Temporal Difference Methods]''. [http://jasss.soc.surrey.ac.uk/7/1/reviews/takama.html Computational Intelligence in Games, Studies in Fuzziness and Soft Computing] [http://www.springer.com/economics?SGWID=1-165-6-73481-0 Physica-Verlag], revised version of [[Nicol N. Schraudolph#1993|1993 paper]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Nicol N. Schraudolph]], [[Peter Dayan]], [[Terrence J. Sejnowski]]  ('''2001'''). ''[http://nic.schraudolph.org/bib2html/b2hd-SchDaySej01.html Learning to Evaluate Go Positions via Temporal Difference Methods]''. [http://jasss.soc.surrey.ac.uk/7/1/reviews/takama.html Computational Intelligence in Games, Studies in Fuzziness and Soft Computing] [http://www.springer.com/economics?SGWID=1-165-6-73481-0 Physica-Verlag], revised version of [[Nicol N. Schraudolph#1993|1993 paper]]</div></td></tr>
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GerdIsenberg
https://www.chessprogramming.org/index.php?title=Learning&diff=24664&oldid=prev
GerdIsenberg at 12:02, 23 May 2021
2021-05-23T12:02:39Z
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<td colspan="2" style="background-color: white; color:black; text-align: center;">Revision as of 12:02, 23 May 2021</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Matthia Sabatelli]], [[Francesco Bidoia]], [[Valeriu Codreanu]], [[Marco Wiering]] ('''2018'''). ''Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead''. ICPRAM 2018, [http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/ICPRAM_CHESS_DNN_2018.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Matthia Sabatelli]], [[Francesco Bidoia]], [[Valeriu Codreanu]], [[Marco Wiering]] ('''2018'''). ''Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead''. ICPRAM 2018, [http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/ICPRAM_CHESS_DNN_2018.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Takeshi Ito]] ('''2018'''). ''Game learning support system based on future position''. [[CG 2018]], [[ICGA Journal#40_4|ICGA Journal, Vol. 40, No. 4]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Takeshi Ito]] ('''2018'''). ''Game learning support system based on future position''. [[CG 2018]], [[ICGA Journal#40_4|ICGA Journal, Vol. 40, No. 4]]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Kristian Kersting]] ('''2018'''). ''[https://www.frontiersin.org/articles/10.3389/fdata.2018.00006/full Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines]''. [https://www.frontiersin.org/journals/big-data# Frontiers in Big Data]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''2019'''</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''2019'''</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Herilalaina Rakotoarison]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2019'''). ''Automated Machine Learning with Monte-Carlo Tree Search''. [https://arxiv.org/abs/1906.00170 arXiv:1906.00170]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Herilalaina Rakotoarison]], [[Marc Schoenauer]], [[Michèle Sebag]] ('''2019'''). ''Automated Machine Learning with Monte-Carlo Tree Search''. [https://arxiv.org/abs/1906.00170 arXiv:1906.00170]</div></td></tr>
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GerdIsenberg
https://www.chessprogramming.org/index.php?title=Learning&diff=24624&oldid=prev
GerdIsenberg at 09:05, 22 May 2021
2021-05-22T09:05:29Z
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==2020 ...==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==2020 ...==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2020'''). ''[https://www.nature.com/articles/s41586-020-03051-4 Mastering Atari, Go, chess and shogi by planning with a learned model]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 588 <ref>[https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules?fbclid=IwAR3mSwrn1YXDKr9uuGm2GlFKh76wBilex7f8QvBiQecwiVmAvD6Bkyjx-rE MuZero: Mastering Go, chess, shogi and Atari without rules]</ref></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2020'''). ''[https://www.nature.com/articles/s41586-020-03051-4 Mastering Atari, Go, chess and shogi by planning with a learned model]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 588 <ref>[https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules?fbclid=IwAR3mSwrn1YXDKr9uuGm2GlFKh76wBilex7f8QvBiQecwiVmAvD6Bkyjx-rE MuZero: Mastering Go, chess, shogi and Atari without rules]</ref></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Johannes Czech]], [[Moritz Willig]], [[Alena Beyer]], [[Kristian Kersting]], [[Johannes Fürnkranz]] ('''2020'''). ''[https://www.frontiersin.org/articles/10.3389/frai.2020.00024/full Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data]''.  [https://www.frontiersin.org/journals/artificial-intelligence# Frontiers in Artificial Intelligence]  » [[CrazyAra]]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=Forum Posts=</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=Forum Posts=</div></td></tr>
</table>
GerdIsenberg
https://www.chessprogramming.org/index.php?title=Learning&diff=24335&oldid=prev
GerdIsenberg at 09:23, 16 April 2021
2021-04-16T09:23:55Z
<p></p>
<table class="diff diff-contentalign-left" data-mw="interface">
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<td colspan="2" style="background-color: white; color:black; text-align: center;">Revision as of 09:23, 16 April 2021</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l524" >Line 524:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2019'''). ''Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model''. [https://arxiv.org/abs/1911.08265 arXiv:1911.08265] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=72381 New DeepMind paper] by GregNeto, [[CCC]], November 21, 2019</ref></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2019'''). ''Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model''. [https://arxiv.org/abs/1911.08265 arXiv:1911.08265] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=72381 New DeepMind paper] by GregNeto, [[CCC]], November 21, 2019</ref></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==2020 ...==</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==2020 ...==</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward <del class="diffchange diffchange-inline">Lockhar</del>]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2020'''). ''[https://www.nature.com/articles/s41586-020-03051-4 Mastering Atari, Go, chess and shogi by planning with a learned model]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 588 <ref>[https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules?fbclid=IwAR3mSwrn1YXDKr9uuGm2GlFKh76wBilex7f8QvBiQecwiVmAvD6Bkyjx-rE MuZero: Mastering Go, chess, shogi and Atari without rules]</ref></div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward <ins class="diffchange diffchange-inline">Lockhart</ins>]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2020'''). ''[https://www.nature.com/articles/s41586-020-03051-4 Mastering Atari, Go, chess and shogi by planning with a learned model]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 588 <ref>[https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules?fbclid=IwAR3mSwrn1YXDKr9uuGm2GlFKh76wBilex7f8QvBiQecwiVmAvD6Bkyjx-rE MuZero: Mastering Go, chess, shogi and Atari without rules]</ref></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=Forum Posts=</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=Forum Posts=</div></td></tr>
</table>
GerdIsenberg
https://www.chessprogramming.org/index.php?title=Learning&diff=24327&oldid=prev
GerdIsenberg at 07:54, 15 April 2021
2021-04-15T07:54:41Z
<p></p>
<table class="diff diff-contentalign-left" data-mw="interface">
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<td colspan="2" style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: white; color:black; text-align: center;">Revision as of 07:54, 15 April 2021</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l347" >Line 347:</td>
<td colspan="2" class="diff-lineno">Line 347:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Pedro Campos]], [[Thibault Langlois]] ('''2003'''). ''[http://ilk.uvt.nl/icga/journal/contents/content26-4.htm#ABALEARN Abalearn: a Program that Learns How to Play Abalone]''. [[ICGA Journal#26_4|ICGA Journal, Vol. 26, No. 4]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Pedro Campos]], [[Thibault Langlois]] ('''2003'''). ''[http://ilk.uvt.nl/icga/journal/contents/content26-4.htm#ABALEARN Abalearn: a Program that Learns How to Play Abalone]''. [[ICGA Journal#26_4|ICGA Journal, Vol. 26, No. 4]]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[David Gleich]] ('''2003'''). ''Machine Learning in Computer Chess: Genetic Programming and KRK''.  [https://en.wikipedia.org/wiki/Harvey_Mudd_College Harvey Mudd College], [http://www.cs.purdue.edu/homes/dgleich/publications/Gleich%202003%20-%20Machine%20Learning%20in%20Computer%20Chess.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[David Gleich]] ('''2003'''). ''Machine Learning in Computer Chess: Genetic Programming and KRK''.  [https://en.wikipedia.org/wiki/Harvey_Mudd_College Harvey Mudd College], [http://www.cs.purdue.edu/homes/dgleich/publications/Gleich%202003%20-%20Machine%20Learning%20in%20Computer%20Chess.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[Henk Mannen]] ('''2003'''). ''Learning to play chess using reinforcement learning with database games''. Master’s thesis, <del class="diffchange diffchange-inline">[http://students.uu.nl/en/hum/cognitive-artificial-intelligence </del>Cognitive Artificial Intelligence<del class="diffchange diffchange-inline">]</del>, [https://en.wikipedia.org/wiki/Utrecht_University Utrecht University]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Henk Mannen]] ('''2003'''). ''Learning to play chess using reinforcement learning with database games''. Master’s thesis, Cognitive Artificial Intelligence, [https://en.wikipedia.org/wiki/Utrecht_University Utrecht University<ins class="diffchange diffchange-inline">], [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.109.810&rep=rep1&type=pdf pdf</ins>]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Jan Žižka]], [[Michal Mádr]] ('''2003'''). ''[https://www.muni.cz/research/publications/490371 Learning Representative Patterns from Real Chess Positions: A Case Study]''. [http://dblp.uni-trier.de/db/conf/iicai/iicai2003.html#ZizkaM03 IICAI 2003]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Jan Žižka]], [[Michal Mádr]] ('''2003'''). ''[https://www.muni.cz/research/publications/490371 Learning Representative Patterns from Real Chess Positions: A Case Study]''. [http://dblp.uni-trier.de/db/conf/iicai/iicai2003.html#ZizkaM03 IICAI 2003]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''2004'''</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''2004'''</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Daniel Osman]], [[Jacek Mańdziuk]] ('''2004'''). ''Comparison of TDLeaf and TD learning in Game Playing Domain''. [http://www.informatik.uni-trier.de/~ley/db/conf/iconip/iconip2004.html#OsmanM04 11. ICONIP], [http://www.mini.pw.edu.pl/~mandziuk/PRACE/ICONIP04.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Daniel Osman]], [[Jacek Mańdziuk]] ('''2004'''). ''Comparison of TDLeaf and TD learning in Game Playing Domain''. [http://www.informatik.uni-trier.de/~ley/db/conf/iconip/iconip2004.html#OsmanM04 11. ICONIP], [http://www.mini.pw.edu.pl/~mandziuk/PRACE/ICONIP04.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Albert Xin Jiang]] ('''2004'''). ''Multiagent Reinforcement Learning in Stochastic Games with Continuous Action Spaces''. [http://www.cs.ubc.ca/%7Ejiang/papers/continuous.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Albert Xin Jiang]] ('''2004'''). ''Multiagent Reinforcement Learning in Stochastic Games with Continuous Action Spaces''. [http://www.cs.ubc.ca/%7Ejiang/papers/continuous.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[Henk Mannen]], [[Marco Wiering]] ('''2004'''). ''Learning to play chess using TD(λ)-learning with database games''. <del class="diffchange diffchange-inline">[http://students.uu.nl/en/hum/cognitive-artificial-intelligence </del>Cognitive Artificial Intelligence<del class="diffchange diffchange-inline">]</del>, [https://en.wikipedia.org/wiki/Utrecht_University Utrecht University], Benelearn’04</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Henk Mannen]], [[Marco Wiering]] ('''2004'''). ''<ins class="diffchange diffchange-inline">[https://www.semanticscholar.org/paper/Learning-to-Play-Chess-using-TD(lambda)-learning-Mannen-Wiering/00a6f81c8ebe8408c147841f26ed27eb13fb07f3 </ins>Learning to play chess using TD(λ)-learning with database games<ins class="diffchange diffchange-inline">]</ins>''. Cognitive Artificial Intelligence, [https://en.wikipedia.org/wiki/Utrecht_University Utrecht University], Benelearn’04<ins class="diffchange diffchange-inline">, [https://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/learning-chess.pdf pdf]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==2005 ...==  </div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>==2005 ...==  </div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Dave Gomboc]], [[Michael Buro]], [[Tony Marsland]] ('''2005'''). ''Tuning evaluation functions by maximizing concordance'' Theoretical Computer Science, Volume 349, Issue 2, pp. 202-229, [http://www.cs.ualberta.ca/%7Emburo/ps/tcs-learn.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Dave Gomboc]], [[Michael Buro]], [[Tony Marsland]] ('''2005'''). ''Tuning evaluation functions by maximizing concordance'' Theoretical Computer Science, Volume 349, Issue 2, pp. 202-229, [http://www.cs.ualberta.ca/%7Emburo/ps/tcs-learn.pdf pdf]</div></td></tr>
</table>
GerdIsenberg
https://www.chessprogramming.org/index.php?title=Learning&diff=24291&oldid=prev
GerdIsenberg at 12:09, 12 April 2021
2021-04-12T12:09:30Z
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<td colspan="2" style="background-color: white; color:black; text-align: center;">Revision as of 12:09, 12 April 2021</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l404" >Line 404:</td>
<td colspan="2" class="diff-lineno">Line 404:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Sacha Droste]], [[Johannes Fürnkranz]] ('''2008'''). ''Learning of Piece Values for Chess Variants.'' Technical Report TUD–KE–2008-07, Knowledge Engineering Group, [[Darmstadt University of Technology|TU Darmstadt]], [http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-2008-07.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Sacha Droste]], [[Johannes Fürnkranz]] ('''2008'''). ''Learning of Piece Values for Chess Variants.'' Technical Report TUD–KE–2008-07, Knowledge Engineering Group, [[Darmstadt University of Technology|TU Darmstadt]], [http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-2008-07.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Sacha Droste]], [[Johannes Fürnkranz]] ('''2008'''). ''Learning the Piece Values for three Chess Variants''. [[ICGA Journal#31_4|ICGA Journal, Vol 31, No. 4]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Sacha Droste]], [[Johannes Fürnkranz]] ('''2008'''). ''Learning the Piece Values for three Chess Variants''. [[ICGA Journal#31_4|ICGA Journal, Vol 31, No. 4]]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[Richard Sutton]], [[Csaba Szepesvári]], [[Hamid Reza Maei]] ('''2008'''). ''A Convergent O(n) Algorithm for Off-policy Temporal-difference Learning with Linear Function Approximation'', [<del class="diffchange diffchange-inline">http</del>://<del class="diffchange diffchange-inline">www</del>.<del class="diffchange diffchange-inline">sztaki</del>.<del class="diffchange diffchange-inline">hu</del>/<del class="diffchange diffchange-inline">%7Eszcsaba</del>/<del class="diffchange diffchange-inline">papers</del>/<del class="diffchange diffchange-inline">gtdnips08</del>.pdf pdf] <del class="diffchange diffchange-inline">(draft)</del></div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Richard Sutton]], [[Csaba Szepesvári]], [[Hamid Reza Maei]] ('''2008'''). ''A Convergent O(n) Algorithm for Off-policy Temporal-difference Learning with Linear Function Approximation''<ins class="diffchange diffchange-inline">. [https://dblp.uni-trier.de/db/conf/nips/nips2008.html#SuttonSM08 NIPS 2008]</ins>, [<ins class="diffchange diffchange-inline">https</ins>://<ins class="diffchange diffchange-inline">proceedings</ins>.<ins class="diffchange diffchange-inline">neurips</ins>.<ins class="diffchange diffchange-inline">cc/paper</ins>/<ins class="diffchange diffchange-inline">2008</ins>/<ins class="diffchange diffchange-inline">file</ins>/<ins class="diffchange diffchange-inline">e0c641195b27425bb056ac56f8953d24-Paper</ins>.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Matej Guid]], [[Martin Možina]], [[Jana Krivec]], [[Aleksander Sadikov]], [[Ivan Bratko]]  ('''2008'''). ''[http://link.springer.com/chapter/10.1007/978-3-540-87608-3_18 Learning Positional Features for Annotating Chess Games: A Case Study]''. [[CG 2008]], [http://www.ailab.si/matej/doc/Learning_Positional_Features-Case_Study.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Matej Guid]], [[Martin Možina]], [[Jana Krivec]], [[Aleksander Sadikov]], [[Ivan Bratko]]  ('''2008'''). ''[http://link.springer.com/chapter/10.1007/978-3-540-87608-3_18 Learning Positional Features for Annotating Chess Games: A Case Study]''. [[CG 2008]], [http://www.ailab.si/matej/doc/Learning_Positional_Features-Case_Study.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Martin Možina]], [[Matej Guid]], [[Jana Krivec]], [[Aleksander Sadikov]], [[Ivan Bratko]] ('''2008'''). ''Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning''. 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece. [http://www.ailab.si/martin/abml/abml_expert_system_for_web.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Martin Možina]], [[Matej Guid]], [[Jana Krivec]], [[Aleksander Sadikov]], [[Ivan Bratko]] ('''2008'''). ''Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning''. 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece. [http://www.ailab.si/martin/abml/abml_expert_system_for_web.pdf pdf]</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l424" >Line 424:</td>
<td colspan="2" class="diff-lineno">Line 424:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Eli David|Omid David]] ('''2009'''). ''Genetic Algorithms Based Learning for Evolving Intelligent Organisms''. Ph.D. Thesis <ref>[[Dap Hartmann]] ('''2010'''). ''Mimicking the Black Box - Genetically evolving evaluation functions and search algorithms''. Review on Omid David's Ph.D. Thesis, [[ICGA Journal#33_1|ICGA Journal, Vol 33, No. 1]]</ref></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Eli David|Omid David]] ('''2009'''). ''Genetic Algorithms Based Learning for Evolving Intelligent Organisms''. Ph.D. Thesis <ref>[[Dap Hartmann]] ('''2010'''). ''Mimicking the Black Box - Genetically evolving evaluation functions and search algorithms''. Review on Omid David's Ph.D. Thesis, [[ICGA Journal#33_1|ICGA Journal, Vol 33, No. 1]]</ref></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Nur Merve Amil]], [[Nicolas Bredèche]], [[Christian Gagné]], [[Sylvain Gelly]], [[Marc Schoenauer]], [[Olivier Teytaud]] ('''2009'''). ''A Statistical Learning Perspective of Genetic Programming''. EuroGP 2009, [http://hal.inria.fr/docs/00/36/97/82/PDF/eurogp.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Nur Merve Amil]], [[Nicolas Bredèche]], [[Christian Gagné]], [[Sylvain Gelly]], [[Marc Schoenauer]], [[Olivier Teytaud]] ('''2009'''). ''A Statistical Learning Perspective of Genetic Programming''. EuroGP 2009, [http://hal.inria.fr/docs/00/36/97/82/PDF/eurogp.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del class="diffchange diffchange-inline">[[Richard Sutton]], </del>[[Hamid Reza Maei]], [[<del class="diffchange diffchange-inline">Doina Precup</del>]], [[Shalabh Bhatnagar]], [[<del class="diffchange diffchange-inline">David Silver</del>]], [[<del class="diffchange diffchange-inline">Csaba Szepesvári</del>]], [[<del class="diffchange diffchange-inline">Eric Wiewiora</del>]]<del class="diffchange diffchange-inline">. </del>('''2009'''). ''<del class="diffchange diffchange-inline">Fast Gradient-Descent Methods for </del>Temporal-Difference Learning with <del class="diffchange diffchange-inline">Linear </del>Function Approximation''. <del class="diffchange diffchange-inline">In Proceedings of the 26th International Conference on Machine Learning (ICML</del>-<del class="diffchange diffchange-inline">09)</del>. [<del class="diffchange diffchange-inline">http</del>://<del class="diffchange diffchange-inline">www</del>.<del class="diffchange diffchange-inline">sztaki</del>.<del class="diffchange diffchange-inline">hu</del>/<del class="diffchange diffchange-inline">~szcsaba</del>/<del class="diffchange diffchange-inline">papers</del>/<del class="diffchange diffchange-inline">GTD</del>-<del class="diffchange diffchange-inline">ICML09</del>.pdf pdf]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Hamid Reza Maei]], [[<ins class="diffchange diffchange-inline">Csaba Szepesvári</ins>]], [[Shalabh Bhatnagar]], [[<ins class="diffchange diffchange-inline">Doina Precup</ins>]], [[<ins class="diffchange diffchange-inline">David Silver</ins>]], [[<ins class="diffchange diffchange-inline">Richard Sutton</ins>]] ('''2009'''). ''<ins class="diffchange diffchange-inline">Convergent </ins>Temporal-Difference Learning with <ins class="diffchange diffchange-inline">Arbitrary Smooth </ins>Function Approximation''. <ins class="diffchange diffchange-inline">[https://dblp.uni</ins>-<ins class="diffchange diffchange-inline">trier.de/db/conf/nips/nips2009</ins>.<ins class="diffchange diffchange-inline">html#MaeiSBPSS09 NIPS 2009], </ins>[<ins class="diffchange diffchange-inline">https</ins>://<ins class="diffchange diffchange-inline">papers</ins>.<ins class="diffchange diffchange-inline">nips</ins>.<ins class="diffchange diffchange-inline">cc</ins>/<ins class="diffchange diffchange-inline">paper</ins>/<ins class="diffchange diffchange-inline">2009/file</ins>/<ins class="diffchange diffchange-inline">3a15c7d0bbe60300a39f76f8a5ba6896</ins>-<ins class="diffchange diffchange-inline">Paper</ins>.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Mesut Kirci]], [[Jonathan Schaeffer]], [[Nathan Sturtevant]] ('''2009'''). ''Feature Learning Using State Differences''. [http://web.cs.du.edu/~sturtevant/papers/GGPfeatures.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Mesut Kirci]], [[Jonathan Schaeffer]], [[Nathan Sturtevant]] ('''2009'''). ''Feature Learning Using State Differences''. [http://web.cs.du.edu/~sturtevant/papers/GGPfeatures.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[David Silver]], [[Gerald Tesauro]] ('''2009'''). ''Monte-Carlo Simulation Balancing''. [http://www.informatik.uni-trier.de/~ley/db/conf/icml/icml2009.html#SilverT09 ICML 2009], [http://www.machinelearning.org/archive/icml2009/papers/500.pdf pdf] <ref>[http://videolectures.net/icml09_silver_mcsb/ Monte-Carlo Simulation Balancing - videolectures.net] by [[David Silver]]</ref></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[David Silver]], [[Gerald Tesauro]] ('''2009'''). ''Monte-Carlo Simulation Balancing''. [http://www.informatik.uni-trier.de/~ley/db/conf/icml/icml2009.html#SilverT09 ICML 2009], [http://www.machinelearning.org/archive/icml2009/papers/500.pdf pdf] <ref>[http://videolectures.net/icml09_silver_mcsb/ Monte-Carlo Simulation Balancing - videolectures.net] by [[David Silver]]</ref></div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l443" >Line 443:</td>
<td colspan="2" class="diff-lineno">Line 443:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Julien Pérez]], [[Cécile Germain-Renaud]], [[Balázs Kégl]], [[Charles Loomis]] ('''2010'''). ''Multi-objective Reinforcement Learning for Responsive Grids''. In The Journal of Grid Computing. [http://hal.archives-ouvertes.fr/docs/00/49/15/60/PDF/RLGrid_JGC09_V7.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Julien Pérez]], [[Cécile Germain-Renaud]], [[Balázs Kégl]], [[Charles Loomis]] ('''2010'''). ''Multi-objective Reinforcement Learning for Responsive Grids''. In The Journal of Grid Computing. [http://hal.archives-ouvertes.fr/docs/00/49/15/60/PDF/RLGrid_JGC09_V7.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Jean-Yves Audibert]] ('''2010'''). ''PAC-Bayesian aggregation and multi-armed bandits''. Habilitation thesis, [http://fr.wikipedia.org/wiki/Universit%C3%A9_Paris-Est Université Paris Est], [http://certis.enpc.fr/~audibert/Mes%20articles/hdr.pdf pdf], [http://certis.enpc.fr/~audibert/Mes%20articles/hdrSlides.pdf slides as pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Jean-Yves Audibert]] ('''2010'''). ''PAC-Bayesian aggregation and multi-armed bandits''. Habilitation thesis, [http://fr.wikipedia.org/wiki/Universit%C3%A9_Paris-Est Université Paris Est], [http://certis.enpc.fr/~audibert/Mes%20articles/hdr.pdf pdf], [http://certis.enpc.fr/~audibert/Mes%20articles/hdrSlides.pdf slides as pdf]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[Hamid Reza Maei]], [[Richard Sutton]] ('''2010'''). ''[<del class="diffchange diffchange-inline">http</del>://www.<del class="diffchange diffchange-inline">incompleteideas</del>.net/<del class="diffchange diffchange-inline">sutton</del>/<del class="diffchange diffchange-inline">publications.html#GQ </del>GQ(λ): A general gradient algorithm for temporal-difference prediction learning with eligibility traces]''. <del class="diffchange diffchange-inline">In Proceedings of the Third Conference on Artificial General Intelligence</del></div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Hamid Reza Maei]], [[Richard Sutton]] ('''2010'''). ''[<ins class="diffchange diffchange-inline">https</ins>://www.<ins class="diffchange diffchange-inline">researchgate</ins>.net/<ins class="diffchange diffchange-inline">publication</ins>/<ins class="diffchange diffchange-inline">215990384_GQlambda_A_general_gradient_algorithm_for_temporal-difference_prediction_learning_with_eligibility_traces </ins>GQ(λ): A general gradient algorithm for temporal-difference prediction learning with eligibility traces]''. <ins class="diffchange diffchange-inline">[https://agi-conf.org/2010/ AGI 2010]</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/w/Waledzik:Karol.html Karol Walędzik], [[Jacek Mańdziuk]] ('''2010'''). ''The Layered Learning method and its Application to Generation of Evaluation Functions for the Game of Checkers''. [http://www.informatik.uni-trier.de/~ley/db/conf/ppsn/ppsn2010-2.html#WaledzikM10 11. PPSN], [http://www.mini.pw.edu.pl/~mandziuk/PRACE/PPSN10.pdf pdf] » [[Checkers]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/w/Waledzik:Karol.html Karol Walędzik], [[Jacek Mańdziuk]] ('''2010'''). ''The Layered Learning method and its Application to Generation of Evaluation Functions for the Game of Checkers''. [http://www.informatik.uni-trier.de/~ley/db/conf/ppsn/ppsn2010-2.html#WaledzikM10 11. PPSN], [http://www.mini.pw.edu.pl/~mandziuk/PRACE/PPSN10.pdf pdf] » [[Checkers]]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Krzysztof Krawiec]], [[Marcin Szubert]] ('''2010'''). ''[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5586054 Coevolutionary Temporal Difference Learning for small-board Go]''. [[IEEE#EC|IEEE Congress on Evolutionary Computation]] » [[Go]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Krzysztof Krawiec]], [[Marcin Szubert]] ('''2010'''). ''[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5586054 Coevolutionary Temporal Difference Learning for small-board Go]''. [[IEEE#EC|IEEE Congress on Evolutionary Computation]] » [[Go]]</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l459" >Line 459:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Krzysztof Krawiec]], [[Wojciech Jaśkowski]], [[Marcin Szubert]] ('''2011'''). ''[http://www.degruyter.com/view/j/amcs.2011.21.issue-4/v10006-011-0057-3/v10006-011-0057-3.xml Evolving small-board Go players using Coevolutionary Temporal Difference Learning with Archives]''. [http://www.degruyter.com/view/j/amcs Applied Mathematics and Computer Science], Vol. 21, No. 4</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Krzysztof Krawiec]], [[Wojciech Jaśkowski]], [[Marcin Szubert]] ('''2011'''). ''[http://www.degruyter.com/view/j/amcs.2011.21.issue-4/v10006-011-0057-3/v10006-011-0057-3.xml Evolving small-board Go players using Coevolutionary Temporal Difference Learning with Archives]''. [http://www.degruyter.com/view/j/amcs Applied Mathematics and Computer Science], Vol. 21, No. 4</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Marcin Szubert]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2011'''). ''Learning Board Evaluation Function for Othello by Hybridizing Coevolution with Temporal Difference Learning''. [http://control.ibspan.waw.pl:3000/mainpage Control and Cybernetics], Vol. 40, No. 3, [http://www.cs.put.poznan.pl/wjaskowski/pub/papers/szubert2011learning.pdf pdf] » [[Othello]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Marcin Szubert]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2011'''). ''Learning Board Evaluation Function for Othello by Hybridizing Coevolution with Temporal Difference Learning''. [http://control.ibspan.waw.pl:3000/mainpage Control and Cybernetics], Vol. 40, No. 3, [http://www.cs.put.poznan.pl/wjaskowski/pub/papers/szubert2011learning.pdf pdf] » [[Othello]]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[Hamid Reza Maei]] ('''2011'''). ''Gradient Temporal-Difference Learning Algorithms''. Ph.D. thesis, [[University of Alberta]], advisor [[Richard Sutton]<del class="diffchange diffchange-inline">], [http://webdocs.cs.ualberta.ca/~sutton/papers/maei-thesis-2011.pdf pdf</del>]  </div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[Hamid Reza Maei]] ('''2011'''). ''<ins class="diffchange diffchange-inline">[https://era.library.ualberta.ca/items/fd55edcb-ce47-4f84-84e2-be281d27b16a </ins>Gradient Temporal-Difference Learning Algorithms<ins class="diffchange diffchange-inline">]</ins>''. Ph.D. thesis, [[University of Alberta]], advisor [[Richard Sutton]]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Eli David|Omid David]], [[Moshe Koppel]], [[Nathan S. Netanyahu]] ('''2011'''). ''[https://link.springer.com/article/10.1007/s10710-010-9103-4 Expert-Driven Genetic Algorithms for Simulating Evaluation Functions]''. [https://www.springer.com/journal/10710 Genetic Programming and Evolvable Machines], Vol. 12, No. 1, [https://arxiv.org/abs/1711.06841 arXiv:1711.06841]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Eli David|Omid David]], [[Moshe Koppel]], [[Nathan S. Netanyahu]] ('''2011'''). ''[https://link.springer.com/article/10.1007/s10710-010-9103-4 Expert-Driven Genetic Algorithms for Simulating Evaluation Functions]''. [https://www.springer.com/journal/10710 Genetic Programming and Evolvable Machines], Vol. 12, No. 1, [https://arxiv.org/abs/1711.06841 arXiv:1711.06841]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''2012'''</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>'''2012'''</div></td></tr>
</table>
GerdIsenberg
https://www.chessprogramming.org/index.php?title=Learning&diff=23091&oldid=prev
GerdIsenberg at 22:03, 28 December 2020
2020-12-28T22:03:26Z
<p></p>
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<td colspan="2" style="background-color: white; color:black; text-align: center;">Revision as of 22:03, 28 December 2020</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l523" >Line 523:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Frank Hutter]], [https://dblp.org/pers/hd/k/Kotthoff:Lars Lars Kotthoff], [https://dblp.org/pers/hd/v/Vanschoren:Joaquin Joaquin Vanschoren] (eds.) ('''2019'''). ''[https://link.springer.com/book/10.1007%2F978-3-030-05318-5 Automated Machine Learning]''. [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Frank Hutter]], [https://dblp.org/pers/hd/k/Kotthoff:Lars Lars Kotthoff], [https://dblp.org/pers/hd/v/Vanschoren:Joaquin Joaquin Vanschoren] (eds.) ('''2019'''). ''[https://link.springer.com/book/10.1007%2F978-3-030-05318-5 Automated Machine Learning]''. [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2019'''). ''Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model''. [https://arxiv.org/abs/1911.08265 arXiv:1911.08265] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=72381 New DeepMind paper] by GregNeto, [[CCC]], November 21, 2019</ref></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2019'''). ''Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model''. [https://arxiv.org/abs/1911.08265 arXiv:1911.08265] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=72381 New DeepMind paper] by GregNeto, [[CCC]], November 21, 2019</ref></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">==2020 ...==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhar]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2020'''). ''[https://www.nature.com/articles/s41586-020-03051-4 Mastering Atari, Go, chess and shogi by planning with a learned model]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 588 <ref>[https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules?fbclid=IwAR3mSwrn1YXDKr9uuGm2GlFKh76wBilex7f8QvBiQecwiVmAvD6Bkyjx-rE MuZero: Mastering Go, chess, shogi and Atari without rules]</ref></ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=Forum Posts=</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>=Forum Posts=</div></td></tr>
</table>
GerdIsenberg
https://www.chessprogramming.org/index.php?title=Learning&diff=22026&oldid=prev
GerdIsenberg at 15:01, 3 November 2020
2020-11-03T15:01:24Z
<p></p>
<table class="diff diff-contentalign-left" data-mw="interface">
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<td colspan="2" style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: white; color:black; text-align: center;">Revision as of 15:01, 3 November 2020</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l549" >Line 549:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.talkchess.com/forum/viewtopic.php?t=56313 Position learning and opening books] by Forrest Hoch, [[CCC]], May 11, 2015</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.talkchess.com/forum/viewtopic.php?t=56313 Position learning and opening books] by Forrest Hoch, [[CCC]], May 11, 2015</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.talkchess.com/forum/viewtopic.php?t=61861 A database for learning evaluation functions] by [[Álvaro Begué]], [[CCC]], October 28, 2016 » [[Automated Tuning]], [[Evaluation]], [[Texel's Tuning Method]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.talkchess.com/forum/viewtopic.php?t=61861 A database for learning evaluation functions] by [[Álvaro Begué]], [[CCC]], October 28, 2016 » [[Automated Tuning]], [[Evaluation]], [[Texel's Tuning Method]]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=69536 Interesting article in "Nature" on Machine Learning] by [[Kai Laskos]], [[CCC]], January 09, 2019</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=72020 A book on machine learning] by Mehdi Amini, [[CCC]], October 06, 2019</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=72020 A book on machine learning] by Mehdi Amini, [[CCC]], October 06, 2019</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"></td></tr>
</table>
GerdIsenberg
https://www.chessprogramming.org/index.php?title=Learning&diff=21627&oldid=prev
GerdIsenberg at 17:32, 7 October 2020
2020-10-07T17:32:23Z
<p></p>
<table class="diff diff-contentalign-left" data-mw="interface">
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<td colspan="2" style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: white; color:black; text-align: center;">Revision as of 17:32, 7 October 2020</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l214" >Line 214:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Shaul Markovitch]], [[Yaron Sella]] ('''1993'''). ''[https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8640.1996.tb00254.x Learning of Resource Allocation Strategies for Game Playing]''. [[Conferences#IJCAI1993|IJCAI 1993]], [https://www.ijcai.org/Proceedings/93-2/Papers/020.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Shaul Markovitch]], [[Yaron Sella]] ('''1993'''). ''[https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8640.1996.tb00254.x Learning of Resource Allocation Strategies for Game Playing]''. [[Conferences#IJCAI1993|IJCAI 1993]], [https://www.ijcai.org/Proceedings/93-2/Papers/020.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Mathematician#DCarmel|David Carmel]], [[Shaul Markovitch]] ('''1993'''). ''[https://aaai.org/Library/Symposia/Fall/1993/fs93-02-019.php Learning Models of Opponent's Strategy in Game Playing]''. [[Conferences#AAAI-93|AAAI 1993]], FS-93-02, [https://www.aaai.org/Papers/Symposia/Fall/1993/FS-93-02/FS93-02-019.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Mathematician#DCarmel|David Carmel]], [[Shaul Markovitch]] ('''1993'''). ''[https://aaai.org/Library/Symposia/Fall/1993/fs93-02-019.php Learning Models of Opponent's Strategy in Game Playing]''. [[Conferences#AAAI-93|AAAI 1993]], FS-93-02, [https://www.aaai.org/Papers/Symposia/Fall/1993/FS-93-02/FS93-02-019.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[Dan Geiger]], [[Azaria Paz]], [[Judea Pearl]] ('''1993'''). ''Learning simple causal structures''. [http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291098-111X International Journal of Intelligent Systems], Vol. 8</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[<ins class="diffchange diffchange-inline">Mathematician#DGeiger|</ins>Dan Geiger]], [[<ins class="diffchange diffchange-inline">Mathematician#APaz|</ins>Azaria Paz]], [[Judea Pearl]] ('''1993'''). ''Learning simple causal structures''. [http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291098-111X International Journal of Intelligent Systems], Vol. 8</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Sebastian Thrun]], [[Tom Mitchell]] ('''1993'''). ''Integrating Inductive Neural Network Learning and Explanation-Based Learning''. [[Conferences#IJCAI1993|IJCAI 1993]], [http://robots.stanford.edu/papers/thrun.EBNN_ijcai93.ps.gz zipped ps]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Sebastian Thrun]], [[Tom Mitchell]] ('''1993'''). ''Integrating Inductive Neural Network Learning and Explanation-Based Learning''. [[Conferences#IJCAI1993|IJCAI 1993]], [http://robots.stanford.edu/papers/thrun.EBNN_ijcai93.ps.gz zipped ps]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Alois Heinz]], [[Christoph Hense]] ('''1993'''). ''[http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.872 Bootstrap learning of α-β-evaluation functions]''. [http://dblp.uni-trier.de/db/conf/icci/icci1993.html#HeinzH93 ICCI 1993], [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.56.872&rep=rep1&type=pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Alois Heinz]], [[Christoph Hense]] ('''1993'''). ''[http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.872 Bootstrap learning of α-β-evaluation functions]''. [http://dblp.uni-trier.de/db/conf/icci/icci1993.html#HeinzH93 ICCI 1993], [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.56.872&rep=rep1&type=pdf pdf]</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l230" >Line 230:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Gerhard Mehlsam]], [[Hermann Kaindl]], [[Wilhelm Barth]] ('''1995'''). ''Feature Construction during Tree Learning''. [http://137.226.34.227/dblp/db/conf/gosler/gosler1995.html GOSLER Final Report] 1995: 391-403</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Gerhard Mehlsam]], [[Hermann Kaindl]], [[Wilhelm Barth]] ('''1995'''). ''Feature Construction during Tree Learning''. [http://137.226.34.227/dblp/db/conf/gosler/gosler1995.html GOSLER Final Report] 1995: 391-403</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Chris McConnell]] ('''1995'''). ''Tuning Evaluation Functions for Search''. [http://www.cs.cmu.edu/afs/cs.cmu.edu/user/ccm/www/papers/ml.ps ps] or [http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=9B2A0CCA8B1AFB594A879799D974111A?doi=10.1.1.53.9742&rep=rep1&type=pdf pdf] from [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.9742 CiteSeerX]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Chris McConnell]] ('''1995'''). ''Tuning Evaluation Functions for Search''. [http://www.cs.cmu.edu/afs/cs.cmu.edu/user/ccm/www/papers/ml.ps ps] or [http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=9B2A0CCA8B1AFB594A879799D974111A?doi=10.1.1.53.9742&rep=rep1&type=pdf pdf] from [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.9742 CiteSeerX]</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* [[David Heckerman]], [[Dan Geiger]], [[Max Chickering]] ('''1995'''). ''Learning Bayesian Networks: The Combination of Knowledge and Statistical Data''. [https://en.wikipedia.org/wiki/Machine_Learning_%28journal%29 Machine Learning], Vol. 20, [http://research.microsoft.com/en-us/um/people/dmax/publications/ml95.pdf pdf]</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* [[David Heckerman]], [[<ins class="diffchange diffchange-inline">Mathematician#DGeiger|</ins>Dan Geiger]], [[Max Chickering]] ('''1995'''). ''Learning Bayesian Networks: The Combination of Knowledge and Statistical Data''. [https://en.wikipedia.org/wiki/Machine_Learning_%28journal%29 Machine Learning], Vol. 20, [http://research.microsoft.com/en-us/um/people/dmax/publications/ml95.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Tristan Cazenave]] ('''1995'''). ''Learning and Problem Solving in Gogol, a Go playing program''. [http://www.lamsade.dauphine.fr/~cazenave/papers/cazenave95learning.pdf pdf]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Tristan Cazenave]] ('''1995'''). ''Learning and Problem Solving in Gogol, a Go playing program''. [http://www.lamsade.dauphine.fr/~cazenave/papers/cazenave95learning.pdf pdf]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Gerald Tesauro]] ('''1995'''). ''Temporal Difference Learning and TD-Gammon''. [[ACM#Communications|Communications of the ACM]] Vol. 38, No. 3</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>* [[Gerald Tesauro]] ('''1995'''). ''Temporal Difference Learning and TD-Gammon''. [[ACM#Communications|Communications of the ACM]] Vol. 38, No. 3</div></td></tr>
</table>
GerdIsenberg