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'''[[Main Page|Home]] * [[People]] * Jonathan Baxter'''
[[FILE:JonathanBaxter.jpg|border|right|thumb|link=https://www.linkedin.com/in/jonathan-baxter-a612/|Jonathan Baxter <ref>[https://www.linkedin.com/in/jonathan-baxter-a612/ Jonathan Baxter | LinkedIn]</ref> ]]
'''Jonathan Baxter''',<br/>
an Australian computer scientist, entrepreneur, [https://en.wikipedia.org/wiki/Chief_executive_officer CEO] and co-founder of the [https://en.wikipedia.org/wiki/Web_crawler Web crawling] company ''Panscient'' <ref>[http://johannburkard.de/blog/www/spam/panscient-com-still-bad-bot.html panscient.com = still bad bot]</ref> <ref>[http://panscient.com/index.htm Panscient: People search, company search, vertical search, information extraction, business intelligence, lead generation, machine learning]</ref>, and before quantitative researcher at [https://en.wikipedia.org/wiki/Two_Sigma Two Sigma Investments], a [https://en.wikipedia.org/wiki/New_York_City New York City] based [https://en.wikipedia.org/wiki/Hedge_fund hedge fund], and distinguished research scientist at WhizBang! Labs, [https://en.wikipedia.org/wiki/Pittsburgh Pittsburgh], [https://en.wikipedia.org/wiki/Pennsylvania Pennsylvania] <ref>[http://www.cs.cmu.edu/~learning/talks-2001/01-07-23.daa.html Talk Description]</ref> <ref>[http://www.demo.cs.brandeis.edu/icml02ws/ ICML-2002 Workshop on Development of Representations]</ref> <ref>[http://newsbreaks.infotoday.com/Digest/Inxight-Acquires-WhizBang-Labs-17058.asp Inxight Acquires WhizBang! Labs], November 4, 2002</ref>.
=Computer Chess=
While affiliated with the Department of Systems Engineering at [[Australian National University]], Jonathan Baxter co-authored the [[Temporal Difference Learning|TD-learning]] chess program [[KnightCap]] <ref>[http://samba.org/KnightCap/ Welcome to the KnightCap home page]</ref> and further wrote his own engine [[TDChess]] based on KnightCap <ref>[https://www.stmintz.com/ccc/index.php?id=41952 Re: u2600 Rating List -- Feb 1] by [[Jonathan Baxter]], [[CCC]], February 01, 1999</ref>, which won the [[NC3 1999]] [[Australasian National Computer Chess Championship]] <ref>[https://www.stmintz.com/ccc/index.php?id=87251 Re: Australian-ch, questions !] by [[David Blackman]], [[CCC]], January 09, 2000</ref>.
After the [[AlphaZero]] incident in December 2017, Jonathan Baxter contributed a [[Monte-Carlo Tree Search]] wrapper for [[Stockfish]] <ref>[https://groups.google.com/d/msg/fishcooking/rMCfc8zMerc/F01WuNtDCgAJ MCTS wrapper for StockFish] by [[Jonathan Baxter]], [[Computer Chess Forums|FishCooking]], December 19, 2017</ref>.
=Selected Publications=
<ref>[http://dblp.uni-trier.de/pers/hd/b/Baxter:Jonathan.html dblp: Jonathan Baxter]</ref>
==1997 ...==
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1997'''). ''Knightcap: A chess program that learns by combining td(λ) with minimax search''. 15th International Conference on Machine Learning, [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.54.8263&rep=rep1&type=pdf pdf] via [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.8263 citeseerX]
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1998'''). ''Experiments in Parameter Learning Using Temporal Differences''. [[ICGA Journal#21_2|ICCA Journal, Vol. 21, No. 2]]
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1999'''). ''TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search''. [https://www.chatbots.org/journal/australian_journal_of_intelligent_information_processing_systems/ Australian Journal of Intelligent Information Processing Systems], Vol. 5 No. 1, [https://arxiv.org/abs/cs/9901001 arXiv:cs/9901001]
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1999'''). ''KnightCap: A chess program that learns by combining TD(lambda) with game-tree search''. [https://arxiv.org/abs/cs/9901002 arXiv:cs/9901002]
==2000 ...==
* [[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]
* [[Jonathan Baxter]], [[Peter Bartlett]] ('''2000'''). ''Reinforcement Learning on POMDPs via Direct Gradient Ascent''. [http://dblp.uni-trier.de/db/conf/icml/icml2000.html ICML 2000], [https://pdfs.semanticscholar.org/b874/98f0879d312c308889135203b17069aa0486.pdf pdf]
* [[Jonathan Baxter]], [[Peter Bartlett]] ('''2001'''). ''Infinite-Horizon Policy-Gradient Estimation''. [https://en.wikipedia.org/wiki/Journal_of_Artificial_Intelligence_Research Journal of Artificial Intelligence Research] 15, [http://neuro.bstu.by/ai/To-dom/My_research/Papers-2.0/STDP/Reinforcement-L/A/Refs/baxter01a.pdf pdf]
* [https://www.linkedin.com/in/dougaberdeen/ Douglas Aberdeen], [[Jonathan Baxter]] ('''2001'''). ''[https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.549 Emmerald: a fast matrix-matrix multiply using Intel's SSE instructions]''. [https://onlinelibrary.wiley.com/journal/15320634 Concurrency and Computation: Practice and Experience], Vol. 13, No. 2
==2010 ...==
* [[Jonathan Baxter]], [[Peter Bartlett]] ('''2011'''). ''Infinite-Horizon Policy-Gradient Estimation''. [https://arxiv.org/abs/1106.0665 arXiv:1106.0665]
* [[Jonathan Baxter]] ('''2011'''). ''A Model of Inductive Bias Learning''. [https://arxiv.org/abs/1106.0245 arXiv:1106.0245] <ref>[https://en.wikipedia.org/wiki/Inductive_bias Inductive bias from Wikipedia]</ref>
=Forum Posts=
==1998 ...==
* [https://www.stmintz.com/ccc/index.php?id=21388 Re: Paderborn '98] by [[Jonathan Baxter]], [[CCC]], June 25, 1998
* [https://www.stmintz.com/ccc/index.php?id=28584 Parameter Tuning] by [[Jonathan Baxter]], [[CCC]], October 01, 1998 » [[Automated Tuning]], [[Temporal Difference Learning|TD-learning]]
* [https://www.stmintz.com/ccc/index.php?id=31420 Any docs on crafty's new TB format?] by [[Jonathan Baxter]], [[CCC]], November 02, 1998
* [https://www.stmintz.com/ccc/index.php?id=33662 DB and Singular Extensions] by [[Jonathan Baxter]], [[CCC]], November 22, 1998 » [[Deep Blue]], [[Singular Extensions]]
* [https://www.stmintz.com/ccc/index.php?id=41952 Re: u2600 Rating List -- Feb 1] by [[Jonathan Baxter]], [[CCC]], February 01, 1999
==2010 ...==
* [https://groups.google.com/d/msg/fishcooking/rMCfc8zMerc/F01WuNtDCgAJ MCTS wrapper for StockFish] by [[Jonathan Baxter]], [[Computer Chess Forums|FishCooking]], December 19, 2017 » [[Monte-Carlo Tree Search]], [[Stockfish]]
=External Links=
* [https://www.linkedin.com/in/jonathan-baxter-a612/ Jonathan Baxter | LinkedIn]
* [https://scholar.google.com/citations?user=MqllIBgAAAAJ&hl=en Jonathan Baxter - Google Scholar Citations]
* [https://github.com/sirjbaxter sirjbaxter (Jonathan Baxter) · GitHub]
* [http://ip.com/patapp/EP1669896A2 A machine learning system for extracting structured records from web pages and other text sources - EP 1669896 A2]
=References=
<references />
'''[[People|Up one level]]'''
[[FILE:JonathanBaxter.jpg|border|right|thumb|link=https://www.linkedin.com/in/jonathan-baxter-a612/|Jonathan Baxter <ref>[https://www.linkedin.com/in/jonathan-baxter-a612/ Jonathan Baxter | LinkedIn]</ref> ]]
'''Jonathan Baxter''',<br/>
an Australian computer scientist, entrepreneur, [https://en.wikipedia.org/wiki/Chief_executive_officer CEO] and co-founder of the [https://en.wikipedia.org/wiki/Web_crawler Web crawling] company ''Panscient'' <ref>[http://johannburkard.de/blog/www/spam/panscient-com-still-bad-bot.html panscient.com = still bad bot]</ref> <ref>[http://panscient.com/index.htm Panscient: People search, company search, vertical search, information extraction, business intelligence, lead generation, machine learning]</ref>, and before quantitative researcher at [https://en.wikipedia.org/wiki/Two_Sigma Two Sigma Investments], a [https://en.wikipedia.org/wiki/New_York_City New York City] based [https://en.wikipedia.org/wiki/Hedge_fund hedge fund], and distinguished research scientist at WhizBang! Labs, [https://en.wikipedia.org/wiki/Pittsburgh Pittsburgh], [https://en.wikipedia.org/wiki/Pennsylvania Pennsylvania] <ref>[http://www.cs.cmu.edu/~learning/talks-2001/01-07-23.daa.html Talk Description]</ref> <ref>[http://www.demo.cs.brandeis.edu/icml02ws/ ICML-2002 Workshop on Development of Representations]</ref> <ref>[http://newsbreaks.infotoday.com/Digest/Inxight-Acquires-WhizBang-Labs-17058.asp Inxight Acquires WhizBang! Labs], November 4, 2002</ref>.
=Computer Chess=
While affiliated with the Department of Systems Engineering at [[Australian National University]], Jonathan Baxter co-authored the [[Temporal Difference Learning|TD-learning]] chess program [[KnightCap]] <ref>[http://samba.org/KnightCap/ Welcome to the KnightCap home page]</ref> and further wrote his own engine [[TDChess]] based on KnightCap <ref>[https://www.stmintz.com/ccc/index.php?id=41952 Re: u2600 Rating List -- Feb 1] by [[Jonathan Baxter]], [[CCC]], February 01, 1999</ref>, which won the [[NC3 1999]] [[Australasian National Computer Chess Championship]] <ref>[https://www.stmintz.com/ccc/index.php?id=87251 Re: Australian-ch, questions !] by [[David Blackman]], [[CCC]], January 09, 2000</ref>.
After the [[AlphaZero]] incident in December 2017, Jonathan Baxter contributed a [[Monte-Carlo Tree Search]] wrapper for [[Stockfish]] <ref>[https://groups.google.com/d/msg/fishcooking/rMCfc8zMerc/F01WuNtDCgAJ MCTS wrapper for StockFish] by [[Jonathan Baxter]], [[Computer Chess Forums|FishCooking]], December 19, 2017</ref>.
=Selected Publications=
<ref>[http://dblp.uni-trier.de/pers/hd/b/Baxter:Jonathan.html dblp: Jonathan Baxter]</ref>
==1997 ...==
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1997'''). ''Knightcap: A chess program that learns by combining td(λ) with minimax search''. 15th International Conference on Machine Learning, [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.54.8263&rep=rep1&type=pdf pdf] via [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.8263 citeseerX]
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1998'''). ''Experiments in Parameter Learning Using Temporal Differences''. [[ICGA Journal#21_2|ICCA Journal, Vol. 21, No. 2]]
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1999'''). ''TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search''. [https://www.chatbots.org/journal/australian_journal_of_intelligent_information_processing_systems/ Australian Journal of Intelligent Information Processing Systems], Vol. 5 No. 1, [https://arxiv.org/abs/cs/9901001 arXiv:cs/9901001]
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1999'''). ''KnightCap: A chess program that learns by combining TD(lambda) with game-tree search''. [https://arxiv.org/abs/cs/9901002 arXiv:cs/9901002]
==2000 ...==
* [[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]
* [[Jonathan Baxter]], [[Peter Bartlett]] ('''2000'''). ''Reinforcement Learning on POMDPs via Direct Gradient Ascent''. [http://dblp.uni-trier.de/db/conf/icml/icml2000.html ICML 2000], [https://pdfs.semanticscholar.org/b874/98f0879d312c308889135203b17069aa0486.pdf pdf]
* [[Jonathan Baxter]], [[Peter Bartlett]] ('''2001'''). ''Infinite-Horizon Policy-Gradient Estimation''. [https://en.wikipedia.org/wiki/Journal_of_Artificial_Intelligence_Research Journal of Artificial Intelligence Research] 15, [http://neuro.bstu.by/ai/To-dom/My_research/Papers-2.0/STDP/Reinforcement-L/A/Refs/baxter01a.pdf pdf]
* [https://www.linkedin.com/in/dougaberdeen/ Douglas Aberdeen], [[Jonathan Baxter]] ('''2001'''). ''[https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.549 Emmerald: a fast matrix-matrix multiply using Intel's SSE instructions]''. [https://onlinelibrary.wiley.com/journal/15320634 Concurrency and Computation: Practice and Experience], Vol. 13, No. 2
==2010 ...==
* [[Jonathan Baxter]], [[Peter Bartlett]] ('''2011'''). ''Infinite-Horizon Policy-Gradient Estimation''. [https://arxiv.org/abs/1106.0665 arXiv:1106.0665]
* [[Jonathan Baxter]] ('''2011'''). ''A Model of Inductive Bias Learning''. [https://arxiv.org/abs/1106.0245 arXiv:1106.0245] <ref>[https://en.wikipedia.org/wiki/Inductive_bias Inductive bias from Wikipedia]</ref>
=Forum Posts=
==1998 ...==
* [https://www.stmintz.com/ccc/index.php?id=21388 Re: Paderborn '98] by [[Jonathan Baxter]], [[CCC]], June 25, 1998
* [https://www.stmintz.com/ccc/index.php?id=28584 Parameter Tuning] by [[Jonathan Baxter]], [[CCC]], October 01, 1998 » [[Automated Tuning]], [[Temporal Difference Learning|TD-learning]]
* [https://www.stmintz.com/ccc/index.php?id=31420 Any docs on crafty's new TB format?] by [[Jonathan Baxter]], [[CCC]], November 02, 1998
* [https://www.stmintz.com/ccc/index.php?id=33662 DB and Singular Extensions] by [[Jonathan Baxter]], [[CCC]], November 22, 1998 » [[Deep Blue]], [[Singular Extensions]]
* [https://www.stmintz.com/ccc/index.php?id=41952 Re: u2600 Rating List -- Feb 1] by [[Jonathan Baxter]], [[CCC]], February 01, 1999
==2010 ...==
* [https://groups.google.com/d/msg/fishcooking/rMCfc8zMerc/F01WuNtDCgAJ MCTS wrapper for StockFish] by [[Jonathan Baxter]], [[Computer Chess Forums|FishCooking]], December 19, 2017 » [[Monte-Carlo Tree Search]], [[Stockfish]]
=External Links=
* [https://www.linkedin.com/in/jonathan-baxter-a612/ Jonathan Baxter | LinkedIn]
* [https://scholar.google.com/citations?user=MqllIBgAAAAJ&hl=en Jonathan Baxter - Google Scholar Citations]
* [https://github.com/sirjbaxter sirjbaxter (Jonathan Baxter) · GitHub]
* [http://ip.com/patapp/EP1669896A2 A machine learning system for extracting structured records from web pages and other text sources - EP 1669896 A2]
=References=
<references />
'''[[People|Up one level]]'''
