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Reinforcement Learning

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* [[Michael L. Littman]] ('''1994'''). ''Markov Games as a Framework for Multi-Agent Reinforcement Learning''. International Conference on Machine Learning, [http://www.cs.duke.edu/courses/spring07/cps296.3/littman94markov.pdf pdf]
==1995 ...==
* [[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]
* [[Gerald Tesauro]] ('''1995'''). ''Temporal Difference Learning and TD-Gammon''. [[ACM#Communications|Communications of the ACM]], Vol. 38, No. 3
* [http://dblp.uni-trier.de/pers/hd/b/Baird_III:Leemon_C= Leemon C. Baird III], [http://dblp.uni-trier.de/pers/hd/h/Harmon:Mance_E= Mance E. Harmon], [[A. Harry Klopf]] ('''1996'''). ''Reinforcement Learning: An Alternative Approach to Machine Intelligence''. [http://www.leemon.com/papers/1996bhk.pdf pdf]
* [[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
* [[Csaba Szepesvári]] ('''1998'''). ''Reinforcement Learning: Theory and Practice''. Proceedings of the 2nd Slovak Conference on Artificial Neural Networks, [http://www.sztaki.hu/%7Eszcsaba/papers/scann98.ps.gz zipped ps]
* [[Richard Sutton]], [[Andrew Barto]] ('''1998'''). ''[https://mitpress.mit.edu/books/reinforcement-learning Reinforcement Learning: An Introduction]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
* [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]
* [[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]]
==2000 ...==
* [[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
* [[Charles Elkan]] ('''2011'''). ''Reinforcement Learning with a Bilinear Q Function''. [http://www.informatik.uni-trier.de/~ley/db/conf/ewrl/ewrl2011.html#Elkan11 EWRL 2011]
'''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
* [[Arthur Guez]], [[David Silver]], [[Peter Dayan]] ('''2012'''). ''Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search''. [http://papers.nips.cc/book/advances-in-neural-information-processing-systems-25-2012 NIPS 2012], [https://papers.nips.cc/paper/4767-efficient-bayes-adaptive-reinforcement-learning-using-sample-based-search.pdf pdf]
'''2013'''
* [[Arthur Guez]], [[David Silver]], [[Peter Dayan]] ('''2013'''). ''Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search''. [https://en.wikipedia.org/wiki/Journal_of_Artificial_Intelligence_Research Journal of Artificial Intelligence Research], Vol. 48, [https://www.jair.org/media/4117/live-4117-7507-jair.pdf pdf]
* [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]
* [[Volodymyr Mnih]], [[Koray Kavukcuoglu]], [[David Silver]], [[Alex Graves]], [[Ioannis Antonoglou]], [[Daan Wierstra]], [[Martin Riedmiller]] ('''2013'''). ''Playing Atari with Deep Reinforcement Learning''. [http://arxiv.org/abs/1312.5602 arXiv:1312.5602] <ref>[http://www.nervanasys.com/demystifying-deep-reinforcement-learning/ Demystifying Deep Reinforcement Learning] by [http://www.nervanasys.com/author/tambet/ Tambet Matiisen], [http://www.nervanasys.com/ Nervana], December 22, 2015</ref> <ref>[http://www.google.com/patents/US20150100530 Patent US20150100530 - Methods and apparatus for reinforcement learning - Google Patents]</ref>

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