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* [[Kai-Fu Lee]], [[Sanjoy Mahajan]] ('''1988'''). ''[http://www.sciencedirect.com/science/article/pii/0004370288900768 A Pattern Classification Approach to Evaluation Function Learning]''. [https://en.wikipedia.org/wiki/Artificial_Intelligence_%28journal%29 Artificial Intelligence], Vol. 36, No. 1
* [[Paul E. Utgoff]] ('''1988'''). ''[http://dl.acm.org/citation.cfm?id=896712 ID5: An incremental ID3]''. [http://dblp.uni-trier.de/db/conf/icml/ml1988.html#Utgoff88 ML 1988]
* [[Shaul Markovitch]], [[Mathematician#PDScott|Paul D. Scott]] ('''1988'''). ''[https://www.semanticscholar.org/paper/The-Role-of-Forgetting-in-Learning-Markovitch-Scott/adbd75db1f85dd3545b4d6b8bba509bf20d7bfce The Role of Forgetting in Learning]''. [https://dblp.uni-trier.de/db/conf/icml/ml1988.html ML 1988], [http://www.cs.technion.ac.il/~shaulm/papers/pdf/Markovitch-Scott-icml1988.pdf pdf]
'''1989'''
* [[David E. Goldberg]] ('''1989'''). ''Genetic Algorithms in Search, Optimization and Machine Learning''. [https://en.wikipedia.org/wiki/Addison-Wesley Addison-Wesley]
* [[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]
* [[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]
* [[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]* [[Mathematician#DGeiger|Dan Geiger]], [[Mathematician#APaz|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
* [[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]
* [[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]
* [[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
* [[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]
* [[David Heckerman]], [[Mathematician#DGeiger|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]
* [[Tristan Cazenave]] ('''1995'''). ''Learning and Problem Solving in Gogol, a Go playing program''. [http://www.lamsade.dauphine.fr/~cazenave/papers/cazenave95learning.pdf pdf]
* [[Gerald Tesauro]] ('''1995'''). ''Temporal Difference Learning and TD-Gammon''. [[ACM#Communications|Communications of the ACM]] Vol. 38, No. 3
* [[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]]
* [[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]
* [[Henk Mannen]] ('''2003'''). ''Learning to play chess using reinforcement learning with database games''. Master’s thesis, [http://students.uu.nl/en/hum/cognitive-artificial-intelligence Cognitive Artificial Intelligence], [https://en.wikipedia.org/wiki/Utrecht_University Utrecht University], [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.109.810&rep=rep1&type=pdf pdf]
* [[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]
'''2004'''
* [[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]
* [[Albert Xin Jiang]] ('''2004'''). ''Multiagent Reinforcement Learning in Stochastic Games with Continuous Action Spaces''. [http://www.cs.ubc.ca/%7Ejiang/papers/continuous.pdf pdf]
* [[Henk Mannen]], [[Marco Wiering]] ('''2004'''). ''[https://www.semanticscholar.org/paper/Learning-to-Play-Chess-using-TD(lambda)-learning-Mannen-Wiering/00a6f81c8ebe8408c147841f26ed27eb13fb07f3 Learning to play chess using TD(λ)-learning with database games]''. [http://students.uu.nl/en/hum/cognitive-artificial-intelligence Cognitive Artificial Intelligence], [https://en.wikipedia.org/wiki/Utrecht_University Utrecht University], Benelearn’04, [https://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/learning-chess.pdf pdf]
==2005 ...==
* [[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]
* [[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]
* [[Sacha Droste]], [[Johannes Fürnkranz]] ('''2008'''). ''Learning the Piece Values for three Chess Variants''. [[ICGA Journal#31_4|ICGA Journal, Vol 31, No. 4]]
* [[Richard Sutton]], [[Csaba Szepesvári]], [[Hamid Reza Maei]] ('''2008'''). ''A Convergent O(n) Algorithm for Off-policy Temporal-difference Learning with Linear Function Approximation''. [https://dblp.uni-trier.de/db/conf/nips/nips2008.html#SuttonSM08 NIPS 2008], [httphttps://wwwproceedings.sztakineurips.hucc/paper/%7Eszcsaba2008/papersfile/gtdnips08e0c641195b27425bb056ac56f8953d24-Paper.pdf pdf] (draft)
* [[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]
* [[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]
* [[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>
* [[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]
* [[Richard Sutton]], [[Hamid Reza Maei]], [[Doina PrecupCsaba Szepesvári]], [[Shalabh Bhatnagar]], [[David SilverDoina Precup]], [[Csaba SzepesváriDavid Silver]], [[Eric WiewioraRichard Sutton]]. ('''2009'''). ''Fast Gradient-Descent Methods for Convergent Temporal-Difference Learning with Linear Arbitrary Smooth Function Approximation''. In Proceedings of the 26th International Conference on Machine Learning (ICML[https://dblp.uni-09)trier.de/db/conf/nips/nips2009. html#MaeiSBPSS09 NIPS 2009], [httphttps://wwwpapers.sztakinips.hucc/~szcsabapaper/papers2009/file/GTD3a15c7d0bbe60300a39f76f8a5ba6896-ICML09Paper.pdf pdf]
* [[Mesut Kirci]], [[Jonathan Schaeffer]], [[Nathan Sturtevant]] ('''2009'''). ''Feature Learning Using State Differences''. [http://web.cs.du.edu/~sturtevant/papers/GGPfeatures.pdf pdf]
* [[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>
* [[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]
* [[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]
* [[Hamid Reza Maei]], [[Richard Sutton]] ('''2010'''). ''[httphttps://www.incompleteideasresearchgate.net/suttonpublication/publications.html#GQ 215990384_GQlambda_A_general_gradient_algorithm_for_temporal-difference_prediction_learning_with_eligibility_traces GQ(λ): A general gradient algorithm for temporal-difference prediction learning with eligibility traces]''. In Proceedings of the Third Conference on Artificial General Intelligence[https://agi-conf.org/2010/ AGI 2010]
* [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]]
* [[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]]
* [[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
* [[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]]
* [[Hamid Reza Maei]] ('''2011'''). ''[https://era.library.ualberta.ca/items/fd55edcb-ce47-4f84-84e2-be281d27b16a Gradient Temporal-Difference Learning Algorithms]''. Ph.D. thesis, [[University of Alberta]], advisor [[Richard Sutton]], [http://webdocs.cs.ualberta.ca/~sutton/papers/maei-thesis-2011.pdf pdf]
* [[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]
'''2012'''
* [[Mathematician#ROrtner|Ronald Ortner]], [[Mathematician#DRyabko|Daniil Ryabko]], [[Peter Auer]], [[Rémi Munos]] ('''2014'''). ''Regret bounds for restless Markov bandits''. [https://en.wikipedia.org/wiki/Theoretical_Computer_Science_%28journal%29 Theoretical Computer Science] 558, [http://daniil.ryabko.net/mabajr.pdf pdf]
==2015 ...==
* [[Volodymyr Mnih]], [[Koray Kavukcuoglu]], [[David Silver]], [[Mathematician#AARusu|Andrei A. Rusu]], [[Joel Veness]], [[Marc G. Bellemare]], [[Alex Graves]], [[Martin Riedmiller]], [[Andreas K. Fidjeland]], [[Georg Ostrovski]], [[Stig Petersen]], [[Charles Beattie]], [[Amir Sadik]], [[Ioannis Antonoglou]], [[Helen King]], [[Dharshan Kumaran]], [[Daan Wierstra]], [[Shane Legg]], [[Demis Hassabis]] ('''2015'''). ''[http://www.nature.com/nature/journal/v518/n7540/abs/nature14236.html Human-level control through deep reinforcement learning]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 518
* [[Tobias Graf]], [[Marco Platzner]] ('''2015'''). ''Adaptive Playouts in Monte Carlo Tree Search with Policy Gradient Reinforcement Learning''. [[Advances in Computer Games 14]]
* [[Yuichiro Sato]], [[Hiroyuki Iida]], [[Jaap van den Herik]] ('''2015'''). ''Transfer Learning by Inductive Logic Programming''. [[Advances in Computer Games 14]]
* [[Jialin Liu]], [[Olivier Teytaud]], [[Tristan Cazenave]] ('''2016'''). ''Fast seed-learning algorithms for games''. [[CG 2016]]
* [[Eli David|Omid E. David]], [[Nathan S. Netanyahu]], [[Lior Wolf]] ('''2016'''). ''[http://link.springer.com/chapter/10.1007%2F978-3-319-44781-0_11 DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess]''. [http://icann2016.org/ ICAAN 2016], [https://en.wikipedia.org/wiki/Lecture_Notes_in_Computer_Science Lecture Notes in Computer Science], Vol. 9887, [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer], [http://www.cs.tau.ac.il/~wolf/papers/deepchess.pdf pdf preprint] » [[DeepChess]] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=61748 DeepChess: Another deep-learning based chess program] by [[Matthew Lai]], [[CCC]], October 17, 2016</ref> <ref>[http://icann2016.org/index.php/conference-programme/recipients-of-the-best-paper-awards/ ICANN 2016 | Recipients of the best paper awards]</ref>
* [https://www.linkedin.com/in/ian-goodfellow-b7187213 [Mathematician#IGoodfellow|Ian Goodfellow]], [https://en.wikipedia.org/wiki/Yoshua_Bengio [Mathematician#YBengio|Yoshua Bengio]], [https://www.linkedin.com/in/aaron-courville-53a63459 [Mathematician#ACourville|Aaron Courville]] ('''2016'''). ''[http://www.deeplearningbook.org/ Deep Learning]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
* [[Max Jaderberg]], [[Volodymyr Mnih]], [[Wojciech Marian Czarnecki]], [[Tom Schaul]], [[Joel Z. Leibo]], [[David Silver]], [[Koray Kavukcuoglu]] ('''2016'''). ''Reinforcement Learning with Unsupervised Auxiliary Tasks''. [https://arxiv.org/abs/1611.05397v1 arXiv:1611.05397v1]
* [[Ian H. Witten]], [https://dblp.uni-trier.de/pers/hd/f/Frank:Eibe Eibe Frank], [https://dblp.uni-trier.de/pers/hd/h/Hall:Mark_A= Mark A. Hall], [http://www.professeurs.polymtl.ca/christopher.pal/ Christopher Pal] ('''2016'''). ''[https://www.cs.waikato.ac.nz/~ml/weka/book.html Data Mining: Practical Machine Learning Tools and Techniques]''. 4th Edition, [https://en.wikipedia.org/wiki/Morgan_Kaufmann_Publishers Morgan Kaufmann]
* [[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]
* [[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>
==2020 ...==
* [[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>
=Forum Posts=
* [http://www.talkchess.com/forum/viewtopic.php?t=56313 Position learning and opening books] by Forrest Hoch, [[CCC]], May 11, 2015
* [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]]
* [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
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=72020 A book on machine learning] by Mehdi Amini, [[CCC]], October 06, 2019
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