OpenSpiel: A Framework for Reinforcement Learning in Games

OpenSpiel is a collection of environments and algorithms for research in reinforcement learning and search in games. It provides implementations of numerous games (e.g., Chess, Go, Poker, Tic-Tac-Toe) and common algorithms (e.g., MCTS, AlphaZero, CFR). The library is currently at version 1.6.12, with frequent staging releases in preparation for a major 2.0 release. It's developed and maintained by Google DeepMind.