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Reinforcement Learning

366 bytes added, 12:47, 14 March 2022
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* [[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>
* [[Dennis Soemers]], [[Vegard Mella]], [[Cameron Browne]], [[Olivier Teytaud]] ('''2021'''). ''Deep learning for general game playing with Ludii and Polygames''. [[ICGA Journal#43_3|ICGA Journal, Vol. 43, No. 3]]
=Postings=
* [https://github.com/koulanurag/muzero-pytorch GitHub - koulanurag/muzero-pytorch: Pytorch Implementation of MuZero] <ref>[[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://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>
* [https://github.com/facebookarchive/Polygames GitHub - facebookarchive/Polygames: The project is a platform of zero learning with a library of games]
=References=

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