25,161
edits
Changes
no edit summary
* [[Quentin Cohen-Solal]], [[Tristan Cazenave]] ('''2021'''). ''DESCENT wins five gold medals at the Computer Olympiad''. [[ICGA Journal#43_2|ICGA Journal, Vol. 43, No. 2]]
* [[Boris Doux]], [[Benjamin Negrevergne]], [[Tristan Cazenave]] ('''2021'''). ''Deep Reinforcement Learning for Morpion Solitaire''. [[Advances in Computer Games 17]]
* [[Weirui Ye]], [[Shaohuai Liu]], [[Thanard Kurutach]], [[Pieter Abbeel]], [[Yang Gao]] ('''2021'''). ''Mastering Atari Games with Limited Data''. [https://arxiv.org/abs/2111.00210 arXiv:2111.00210] <ref>[https://github.com/YeWR/EfficientZero GitHub - YeWR/EfficientZero: Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021]</ref> <ref>[https://www.talkchess.com/forum3/viewtopic.php?f=7&t=78790 Want to train nets faster?] by [[Dann Corbit]], [[CCC]], December 01, 2021</ref>
=Postings=
* [http://videolectures.net/deeplearning2016_pineau_reinforcement_learning/ Introduction to Reinforcement Learning] by [[Joelle Pineau]], [[McGill University]], 2016, [https://en.wikipedia.org/wiki/YouTube YouTube] Video
: {{#evu:https://www.youtube.com/watch?v=O_1Z63EDMvQ|alignment=left|valignment=top}}
==OpenSpielGitHub==
* [https://github.com/deepmind/open_spiel GitHub - deepmind/open_spiel: OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games] <ref>[[Marc Lanctot]], [[Edward Lockhart]], [[Jean-Baptiste Lespiau]], [[Vinícius Flores Zambaldi]], [[Satyaki Upadhyay]], [[Julien Pérolat]], [[Sriram Srinivasan]], [[Finbarr Timbers]], [[Karl Tuyls]], [[Shayegan Omidshafiei]], [[Daniel Hennes]], [[Dustin Morrill]], [[Paul Muller]], [[Timo Ewalds]], [[Ryan Faulkner]], [[János Kramár]], [[Bart De Vylder]], [[Brennan Saeta]], [[James Bradbury]], [[David Ding]], [[Sebastian Borgeaud]], [[Matthew Lai]], [[Julian Schrittwieser]], [[Thomas Anthony]], [[Edward Hughes]], [[Ivo Danihelka]], [[Jonah Ryan-Davis]] ('''2019'''). ''OpenSpiel: A Framework for Reinforcement Learning in Games''. [https://arxiv.org/abs/1908.09453 arXiv:1908.09453]</ref>
** [https://github.com/deepmind/open_spiel/tree/master/open_spiel/algorithms open_spiel/open_spiel/algorithms at master · deepmind/open_spiel · GitHub]
** [https://github.com/deepmind/open_spiel/tree/master/open_spiel/games open_spiel/open_spiel/games at master · deepmind/open_spiel · GitHub]
*** [https://github.com/deepmind/open_spiel/tree/master/open_spiel/games/chess open_spiel/open_spiel/games/chess at master · deepmind/open_spiel · GitHub]
* [https://github.com/YeWR/EfficientZero GitHub - YeWR/EfficientZero: Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021] <ref>[[Weirui Ye]], [[Shaohuai Liu]], [[Thanard Kurutach]], [[Pieter Abbeel]], [[Yang Gao]] ('''2021'''). ''Mastering Atari Games with Limited Data''. [https://arxiv.org/abs/2111.00210 arXiv:2111.00210]</ref>
=References=
