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Yannis Assael1,*, Thea Sommerschield2,3,*, Brendan Shillingford1, Mahyar Bordbar1, John Pavlopoulos4, Marita Chatzipanagiotou4, Ion Androutsopoulos4, Jonathan Prag3, Nando de Freitas1 1 DeepMind, United Kingdom 2 Ca’ Foscari University of Venice, Italy 3 University of Oxford, United Kingdom 4 Athens University of Economics and Business, Greece * Authors contributed equally to this work Ancient His
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. OpenSpiel supports n-player (single- and multi- agent) zero-sum, cooperative and general-sum, one-shot and sequential, strictly turn-taking and simultaneous-move, perfect and imperfect information games, as well as traditional multiagent environments such as (partia
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