OpenSpiel: A Framework for Reinforcement Learning in Games

Lespiau Jean-Baptiste
Lespiau Jean-Baptiste
Zambaldi Vinicius
Zambaldi Vinicius
Upadhyay Satyaki
Upadhyay Satyaki
Srinivasan Sriram
Srinivasan Sriram
Timbers Finbarr
Timbers Finbarr
Morrill Dustin
Morrill Dustin
被引用20|浏览93

摘要

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, ...更多

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