  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.
