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Mastering the Game of Stratego with Model-Free Multiagent R..:
Perolat, Julien
;
de Vylder, Bart
;
Hennes, Daniel
...
http://arxiv.org/abs/2206.15378. , 2022
Link:
http://arxiv.org/abs/2206.15378
RT Journal T1
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
UL https://suche.suub.uni-bremen.de/peid=base-ftarxivpreprints:oai:arXiv.org:2206.15378&Exemplar=1&LAN=DE A1 Perolat, Julien A1 de Vylder, Bart A1 Hennes, Daniel A1 Tarassov, Eugene A1 Strub, Florian A1 de Boer, Vincent A1 Muller, Paul A1 Connor, Jerome T A1 Burch, Neil A1 Anthony, Thomas A1 McAleer, Stephen A1 Elie, Romuald A1 Cen, Sarah H A1 Wang, Zhe A1 Gruslys, Audrunas A1 Malysheva, Aleksandra A1 Khan, Mina A1 Ozair, Sherjil A1 Timbers, Finbarr A1 Pohlen, Toby A1 Eccles, Tom A1 Rowland, Mark A1 Lanctot, Marc A1 Lespiau, Jean-Baptiste A1 Piot, Bilal A1 Omidshafiei, Shayegan A1 Lockhart, Edward A1 Sifre, Laurent A1 Beauguerlange, Nathalie A1 Munos, Remi A1 Silver, David A1 Singh, Satinder A1 Hassabis, Demis A1 Tuyls, Karl YR 2022 K1 Computer Science - Artificial Intelligence K1 Computer Science - Computer Science and Game Theory K1 Computer Science - Multiagent Systems JF http://arxiv.org/abs/2206.15378 LK http://arxiv.org/abs/2206.15378 DO http://arxiv.org/abs/2206.15378 SF ELIB - SuUB Bremen
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