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David Silver

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* [[David Silver]] ('''2006'''). ''Cooperative Pathfinding''. In AI Game Programming Wisdom 3, pages 99–111. Charles River Media, [http://webdocs.cs.ualberta.ca/~silver/David_Silver/Publications_files/coop-path-AIWisdom.pdf pdf]
'''2007'''
* [[David Silver]], [[Richard Sutton]], [[Martin Müller]] ('''2007'''). ''Reinforcement learning of local shape in the game of Go''.[http://www.ai.upf.edu/publications/ijcai-2007-proceedings-20th-international-joint-conference-artificial-intelligence [Conferences#IJCAI2007|20th IJCAI]], [http://webdocs.cs.ualberta.ca/~mmueller/ps/silver-ijcai2007.pdf pdf], [http://webdocs.cs.ualberta.ca/~silver/David_Silver/Publications_files/local-shape.pdf pdf]
* [[Sylvain Gelly]], [[David Silver]] ('''2007'''). ''Combining Online and Offline Knowledge in UCT.'' [http://www.machinelearning.org/proceedings/icml2007/papers/387.pdf pdf]
'''2008'''
* [[David Silver]], [[Richard Sutton]] and , [[Martin Müller]] ('''2008'''). ''Sample-Based Learning and Search with Permanent and Transient Memories''. In Proceedings of the 25th International Conference on Machine Learning, [http://icml2008.cs.helsinki.fi/papers/564.pdf pdf]
* [[Sylvain Gelly]], [[David Silver]] ('''2008'''). ''Achieving Master Level Play in 9 x 9 Computer Go.'' [http://www.lri.fr/~gelly/paper/MoGoNectar.pdf pdf]
'''2009'''
* [[David Silver]], [[Gerald Tesauro]] ('''2009'''). ''Monte-Carlo Simulation Balancing''. In Proceedings of the 26th International Conference on Machine Learning (ICML-09).
* [[Richard Sutton]], [[Hamid Reza Maei]], [[Doina PrecupCsaba Szepesvári]], [[Shalabh Bhatnagar]], [[David SilverDoina Precup]], [[Csaba SzepesváriDavid Silver]] and , [[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]* [[Richard Sutton]], [[Hamid Reza Maei]], [[Csaba SzepesváriDoina Precup]], [[Shalabh Bhatnagar]], [[Doina PrecupDavid Silver]], [[David SilverCsaba Szepesvári]], [[Richard SuttonEric Wiewiora]] . ('''2009'''). ''Convergent [https://dl.acm.org/doi/10.1145/1553374.1553501 Fast Gradient-Descent Methods for Temporal-Difference Learning with Arbitrary Smooth Linear Function Approximation.]'' Accepted in Advances in Neural Information Processing Systems 22, Vancouver, BC. December 2009. MIT Press. [httphttps://booksdblp.nipsuni-trier.ccde/papersdb/filesconf/nips22icml/NIPS2009_1121icml2009.pdf pdfhtml#SuttonMPBSSW09 ICML 2009]
* [[Joel Veness]], [[David Silver]], [[William Uther]], [[Alan Blair]] ('''2009'''). ''[http://papers.nips.cc/paper/3722-bootstrapping-from-game-tree-search Bootstrapping from Game Tree Search]''. [http://webdocs.cs.ualberta.ca/~silver/David_Silver/Applications_files/bootstrapping.pdf pdf]
* [[David Silver]] ('''2009'''). ''Reinforcement Learning and Simulation-Based Search''. Ph.D. thesis, [[University of Alberta]], [http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Applications_files/thesis.pdf pdf]
'''2011'''
* [[Sylvain Gelly]], [[David Silver]] ('''2011'''). ''Monte-Carlo tree search and rapid action value estimation in computer Go''. [https://en.wikipedia.org/wiki/Artificial_Intelligence_%28journal%29 Artificial Intelligence], Vol. 175, No. 11
* [[Joel Veness]], [[Kee Siong Ng]], [[Marcus Hutter]], [[William Uther]] , [[David Silver]] ('''2011'''). ''A Monte-Carlo AIXI Approximation''. [https://en.wikipedia.org/wiki/Journal_of_Artificial_Intelligence_Research JAIR], Vol. 40, [http://www.aaai.org/Papers/JAIR/Vol40/JAIR-4004.pdf pdf]
'''2012'''
* [[Sylvain Gelly]], [[Marc Schoenauer]], [[Michèle Sebag]], [[Olivier Teytaud]], [[Levente Kocsis]], [[David Silver]], [[Csaba Szepesvári]] ('''2012'''). ''[http://dl.acm.org/citation.cfm?id=2093548.2093574 The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions]''. [[ACM#Communications|Communications of the ACM]], Vol. 55, No. 3, [http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Applications_files/grand-challenge.pdf pdf preprint]
'''2012'''
* [[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'''
* [[Johannes Heinrich]], [[Marc Lanctot]], [[David Silver]] ('''2015'''). ''Fictitious Self-Play in Extensive-Form Games''. [http://proceedings.mlr.press/v37/ JMLR: W&CP, Vol. 37], [http://proceedings.mlr.press/v37/heinrich15.pdf pdf]
* [[Johannes Heinrich]], [[David Silver]] ('''2015'''). ''Smooth UCT Search in Computer Poker''. [[Conferences#IJCA2015|IJCAI 2015]], [http://www0.cs.ucl.ac.uk/staff/d.silver/web/Publications_files/smooth_uct.pdf pdf]
* [[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
* [[Arun Nair]], [[Praveen Srinivasan]], [[Sam Blackwell]], [[Cagdas Alcicek]], [[Rory Fearon]], [[Alessandro De Maria]], [[Veda Panneershelvam]], [[Mustafa Suleyman]], [[Charles Beattie]], [[Stig Petersen]], [[Shane Legg]], [[Volodymyr Mnih]], [[Koray Kavukcuoglu]], [[David Silver]] ('''2015'''). ''Massively Parallel Methods for Deep Reinforcement Learning''. [http://arxiv.org/abs/1507.04296 arXiv:1507.04296]
* [[Timothy Lillicrap]], [[Jonathan J. Hunt]], [[Alexander Pritzel]], [[Nicolas Heess]], [[Tom Erez]], [[Yuval Tassa]], [[David Silver]], [[Daan Wierstra]] ('''2015'''). ''Continuous Control with Deep Reinforcement Learning''. [https://arxiv.org/abs/1509.02971 arXiv:1509.02971]
* [[Marc Lanctot]], [[Vinícius Flores Zambaldi]], [[Audrunas Gruslys]], [[Angeliki Lazaridou]], [[Karl Tuyls]], [[Julien Pérolat]], [[David Silver]], [[Thore Graepel]] ('''2017'''). ''A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning''. [https://arxiv.org/abs/1711.00832 arXiv:1711.00832]
* [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815] » [[AlphaZero]]
'''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]
* [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2018'''). ''[http://science.sciencemag.org/content/362/6419/1140 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 362, No. 6419 <ref>[https://deepmind.com/blog/alphazero-shedding-new-light-grand-games-chess-shogi-and-go/ AlphaZero: Shedding new light on the grand games of chess, shogi and Go] by [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]] and [[Demis Hassabis]], [[DeepMind]], December 03, 2018</ref>
'''2019'''
* [[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]
==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>
=External Links=
* [http://www.cs.ucl.ac.uk/staff/D.Silver/web/Home.html David Silver homepage]
* [https://scholar.google.com/citations?user=-8DNE4UAAAAJ&hl=en David Silver - Google Scholar Citation]
* [https://genealogy.math.ndsu.nodak.edu/id.php?id=222152 David Silver - The Mathematics Genealogy Project]
* [http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html Advanced Topics: RL] by [[David Silver]]
* [http://videolectures.net/icml09_silver_mcsb/ Monte-Carlo Simulation Balancing - videolectures.net] <ref>[[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>
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[[Category:Researcher|Silver]]
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