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OpenSpiel: A Framework for Reinforcement Learning in Games

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 (partially- and fully- observable) grid worlds and social dilemmas. OpenSpiel also includes tools to analyze learning dynamics and other common evaluation metrics. This document serves both as an overview of the code base and an introduction to the terminol

By Lanctot, Marc, Lockhart, Edward, Lespiau, Jean-Baptiste, Zambaldi, Vinicius, Upadhyay, Satyaki, Pérolat, Julien, Srinivasan, Sriram, Timbers, Finbarr, Tuyls, Karl, Omidshafiei, Shayegan, Hennes, Daniel, Morrill, Dustin, Muller, Paul, Ewalds, Timo, Faulkner, Ryan, Kramár, János, De Vylder, Bart, Saeta, Brennan, Bradbury, James, Ding, David, Borgeaud, Sebastian, Lai, Matthew, Schrittwieser, Julian, Anthony, Thomas, Hughes, Edward, Danihelka, Ivo, Ryan-Davis, JonahResearch paper

Resource information

Authors
Lanctot, Marc, Lockhart, Edward, Lespiau, Jean-Baptiste, Zambaldi, Vinicius, Upadhyay, Satyaki, Pérolat, Julien, Srinivasan, Sriram, Timbers, Finbarr, Tuyls, Karl, Omidshafiei, Shayegan, Hennes, Daniel, Morrill, Dustin, Muller, Paul, Ewalds, Timo, Faulkner, Ryan, Kramár, János, De Vylder, Bart, Saeta, Brennan, Bradbury, James, Ding, David, Borgeaud, Sebastian, Lai, Matthew, Schrittwieser, Julian, Anthony, Thomas, Hughes, Edward, Danihelka, Ivo, Ryan-Davis, Jonah
Research area
Artificial intelligence
Research topics
Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Computer Science and Game Theory (cs.GT), Multiagent Systems (cs.MA), FOS: Computer and information sciences, FOS: Computer and information sciences
Publication date
2019
DOI
10.48550/arxiv.1908.09453
Upstream last modified
Feb 27, 2022
License
arXiv.org perpetual, non-exclusive license
Last record update
Nov 4, 2026

About this resource

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 (partially- and fully- observable) grid worlds and social dilemmas. OpenSpiel also includes tools to analyze learning dynamics and other common evaluation metrics. This document serves both as an overview of the code base and an introduction to the terminology, core concepts, and algorithms across the fields of reinforcement learning, computational game theory, and search.