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* [[Gerald Tesauro]] ('''1995'''). ''Temporal Difference Learning and TD-Gammon''. [[ACM#Communications|Communications of the ACM]] Vol. 38, No. 3
* [[Sebastian Thrun]] ('''1995'''). ''[http://robots.stanford.edu/papers/thrun.nips7.neuro-chess.html Learning to Play the Game of Chess]''. in [[Gerald Tesauro]], [https://en.wikipedia.org/wiki/David_S._Touretzky David S. Touretzky], [http://mitpress.mit.edu/authors/todd-k-leen Todd K. Leen] (eds.) Advances in Neural Information Processing Systems 7, [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
* [[Marco Wiering]] ('''1995'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&cstart=20&citation_for_view=xVas0I8AAAAJ:roLk4NBRz8UC TD Learning of Game Evaluation Functions with Hierarchical Neural Architectures]''. Master's thesis, [https://en.wikipedia.org/wiki/University_of_Amsterdam University of Amsterdam], [http://webber.physik.uni-freiburg.de/~hon/vorlss02/Literatur/reinforcement/GameEvaluationWithNeuronal.pdf pdf]
* [[Mathematician#MAArbib|Michael A. Arbib]] (ed.) ('''1995, 2002'''). ''[http://mitpress.mit.edu/books/handbook-brain-theory-and-neural-networks The Handbook of Brain Theory and Neural Networks]''. [https://en.wikipedia.org/wiki/MIT_Press The MIT Press]
* [[Nicol N. Schraudolph]] ('''1995'''). ''[http://nic.schraudolph.org/bib2html/b2hd-Schraudolph95 Optimization of Entropy with Neural Networks]''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_California,_San_Diego University of California, San Diego]
* [[William Uther]], [[Manuela Veloso|Manuela M. Veloso]] ('''1997'''). ''Adversarial Reinforcement Learning''. [[Carnegie Mellon University]], [http://www.cse.unsw.edu.au/~willu/w/papers/Uther97a.ps ps]
* [[William Uther]], [[Manuela Veloso|Manuela M. Veloso]] ('''1997'''). ''Generalizing Adversarial Reinforcement Learning''. [[Carnegie Mellon University]], [http://www.cse.unsw.edu.au/~willu/w/papers/Uther97b.ps ps]
* [[Marco Wiering]], [[Jürgen Schmidhuber]] ('''1997'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&citation_for_view=xVas0I8AAAAJ:u5HHmVD_uO8C HQ-learning]''. [https://en.wikipedia.org/wiki/Adaptive_Behavior_%28journal%29 Adaptive Behavior], Vol. 6, No 2
'''1998'''
* [[Jonathan Baxter]], [[Andrew Tridgell]], [[Lex Weaver]] ('''1998'''). ''Knightcap: A chess program that learns by combining td(λ) with game-tree search'', Proceedings of the 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]
* [[Ryszard Michalski]] ('''1998'''). ''Learnable Evolution: Combining Symbolic and Evolutionary Learning''. Proceedings of the Fourth International Workshop on Multistrategy Learning (MSL'98)
* [[Krzysztof Krawiec]], [http://www.informatik.uni-trier.de/~ley/pers/hd/s/Slowinski:Roman.html Roman Slowinski], [http://www.informatik.uni-trier.de/~ley/pers/hd/s/Szczesniak:Irmina.html Irmina Szczesniak] ('''1998'''). ''[http://link.springer.com/chapter/10.1007%2F3-540-69115-4_60 Pedagogical Method for Extraction of Symbolic Knowledge from Neural Networks]''. [http://link.springer.com/book/10.1007%2F3-540-69115-4 Rough Sets and Current Trends in Computing 1998]
* [[Marco Wiering]], [[Jürgen Schmidhuber]] ('''1998'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&citation_for_view=xVas0I8AAAAJ:2osOgNQ5qMEC Fast online Q (λ)]''. [https://en.wikipedia.org/wiki/Machine_Learning_%28journal%29 Machine Learning], Vol. 33, No. 1
'''1999'''
* [[Robert Hyatt]] ('''1999'''). ''[http://www.craftychess.com/hyatt/learning.html Book Learning - a Methodology to Tune an Opening Book Automatically]''. [[ICGA Journal#22_1|ICCA Journal, Vol. 22, No. 1]]
* [http://www.ilsp.gr/homepages/papavasiliou_eng.html Vassilis Papavassiliou], [[Stuart Russell]] ('''1999'''). ''Convergence of reinforcement learning with general function approximators.'' In Proc. IJCAI-99, Stockholm, [http://www.cs.berkeley.edu/~russell/papers/ijcai99-bridge.ps ps]
* [[Philip G. K. Reiser]], [[Patricia J. Riddle]] ('''1999'''). ''[http://link.springer.com/chapter/10.1007%2F3-540-48873-1_19 Evolving Logic Programs to Classify Chess-Endgame Positions]''. [http://link.springer.com/book/10.1007%2F3-540-48873-1 Simulated Evolution and Learning], [https://en.wikipedia.org/wiki/Canberra Canberra], Australia. [http://www.springer.com/series/1244 Lecture Notes in Artificial Intelligence], No. 1585, [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer], [http://stancomb.co.uk/Papers/seal98.pdf pdf] » [[Endgame]]
* [[Marco Wiering]] ('''1999'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&pagesize=100&citation_for_view=xVas0I8AAAAJ:9yKSN-GCB0IC Explorations in Efficient Reinforcement Learning]''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_Amsterdam University of Amsterdam], advisors [[Mathematician#FGroen|Frans Groen]] and [[Jürgen Schmidhuber]]
* [[Mathematician#GEHinton|Geoffrey E. Hinton]], [[Terrence J. Sejnowski]] (eds.) ('''1999'''). ''[https://mitpress.mit.edu/books/unsupervised-learning Unsupervised Learning: Foundations of Neural Computation]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
==2000 ...==
* [[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'''). ''[http://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&cstart=20&pagesize=80&citation_for_view=xVas0I8AAAAJ:7PzlFSSx8tAC 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
==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]
* [[Edward P. Manning]] ('''2010'''). ''[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5409565 Using Resource-Limited Nash Memory to Improve an Othello Evaluation Function]''. [[IEEE#TOCIAIGAMES|IEEE Transactions on Computational Intelligence and AI in Games]], Vol. 2, No. 1 » [[Othello]]
* [[Edward P. Manning]] ('''2010'''). ''[http://dl.acm.org/citation.cfm?id=1830667 Coevolution in a Large Search Space using Resource-limited Nash Memory]''. [http://www.informatik.uni-trier.de/~ley/db/conf/gecco/gecco2010.html#Manning10 GECCO '10] » [[Othello]]
* [[Marco Wiering]] ('''2010'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&cstart=20&citation_for_view=xVas0I8AAAAJ:_kc_bZDykSQC Self-play and using an expert to learn to play backgammon with temporal difference learning]''. [http://www.scirp.org/journal/jilsa/ Journal of Intelligent Learning Systems and Applications], Vol. 2, No. 2
'''2011'''
* [[Joel Veness]] ('''2011'''). ''Approximate Universal Artificial Intelligence and Self-Play Learning for Games''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_New_South_Wales University of New South Wales], supervisors: [[Kee Siong Ng]], [[Marcus Hutter]], [[Alan Blair]], [[William Uther]], [[John Lloyd]]; [http://jveness.info/publications/veness_phd_thesis_final.pdf pdf]
* [[Hamid Reza Maei]] ('''2011'''). ''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]
'''2012'''
* [[Marco Wiering]], [http://martijnvanotterlo.nl/ Martijn Van Otterlo] ('''2012'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&citation_for_view=xVas0I8AAAAJ:abG-DnoFyZgC Reinforcement learning: State-of-the-art]''. [http://link.springer.com/book/10.1007/978-3-642-27645-3 Adaptation, Learning, and Optimization, Vol. 12], [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer]
: [[István Szita]] ('''2012'''). ''[http://link.springer.com/chapter/10.1007%2F978-3-642-27645-3_17 Reinforcement Learning in Games]''. Chapter 17
* [http://dblp.uni-trier.de/pers/hd/d/Dries:Sjoerd_van_den Sjoerd van den Dries], [[Marco Wiering]] ('''2012'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&cstart=40&citation_for_view=xVas0I8AAAAJ:P5F9QuxV20EC Neural-fitted TD-leaf learning for playing Othello with structured neural networks]''. [[IEEE#NN|IEEE Transactions on Neural Networks and Learning Systems]], Vol. 23, No. 11
* [[Marcin Szubert]], [[Wojciech Jaśkowski]], [[Paweł Liskowski]], [[Krzysztof Krawiec]] ('''2013'''). ''Shaping Fitness Function for Evolutionary Learning of Game Strategies''. [http://www.informatik.uni-trier.de/~ley/db/conf/gecco/gecco2013.html#SzubertJLK13 GECCO 2013], [http://www.cs.put.poznan.pl/wjaskowski/pub/papers/szubert2013shaping.pdf pdf]
* [[Marcin Szubert]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2013'''). ''[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6504736 On Scalability, Generalization, and Hybridization of Coevolutionary Learning: a Case Study for Othello]''. [[IEEE#TOCIAIGAMES|IEEE Transactions on Computational Intelligence and AI in Games]], Vol. 5, No. 3 » [[Othello]]
* [http://dblp.uni-trier.de/pers/hd/r/Ree:M=_van_der Michiel van der Ree], [[Marco Wiering]] ('''2013'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&cstart=60&pagesize=80&citation_for_view=xVas0I8AAAAJ:K3LRdlH-MEoC Reinforcement Learning in the Game of Othello: Learning Against a Fixed Opponent and Learning from Self-Play]''. [http://dblp.uni-trier.de/db/conf/adprl/adprl2013.html#ReeW13 ADPRL 2013]* [http://dblp.uni-trier.de/pers/hd/b/Bom:Luuk Luuk Bom], [http://dblp.uni-trier.de/pers/hd/h/Henken:Ruud Ruud Henken], [[Marco Wiering]] ('''2013'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&cstart=40&citation_for_view=xVas0I8AAAAJ:l7t_Zn2s7bgC Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs]''. [http://dblp.uni-trier.de/db/conf/adprl/adprl2013.html#BomHW13 ADPRL 2013] <ref>[https://en.wikipedia.org/wiki/Ms._Pac-Man Ms. Pac-Man from Wikipedia]</ref>
* [[Peter Auer]], [[Marcus Hutter]], [[Laurent Orseau]] ('''2013'''). ''[http://drops.dagstuhl.de/opus/volltexte/2013/4340/ Reinforcement Learning]''. [http://dblp.uni-trier.de/db/journals/dagstuhl-reports/dagstuhl-reports3.html#AuerHO13 Dagstuhl Reports, Vol. 3, No. 8], DOI: [http://drops.dagstuhl.de/opus/volltexte/2013/4340/ 10.4230/DagRep.3.8.1], URN: [http://drops.dagstuhl.de/opus/volltexte/2013/4340/ urn:nbn:de:0030-drops-43409]
* [[Igor Roizen]], [[Judea Pearl]] ('''2013'''). ''Learning Link-Probabilities in Causal Trees.'' [https://arxiv.org/abs/1304.3103 arXiv:1304.3103]
'''2018'''
* [[Arthur Guez]], [[Théophane Weber]], [[Ioannis Antonoglou]], [[Karen Simonyan]], [[Oriol Vinyals]], [[Daan Wierstra]], [[Rémi Munos]], [[David Silver]] ('''2018'''). ''Learning to Search with MCTSnets''. [https://arxiv.org/abs/1802.04697 arXiv:1802.04697] » [[Monte-Carlo Tree Search]]
* [[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]
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