{"repo":"google-deepmind/open_spiel","free":true,"listed":false,"github":"https://github.com/google-deepmind/open_spiel","clone":"git clone https://github.com/google-deepmind/open_spiel.git","description":"OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.","language":"C++","stars":5414,"topics":["games","reinforcement-learning","multiagent","cpp","python"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"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. Games are represented as procedural extensive-form games, with some natural extensions. The core API and games are implemented in C++ and exposed to Python. Algorithms and tools are written both in C++ and Python. To try OpenSpiel in Google Colaboratory, please refer to open spiel/colabs subdirectory or start here. Index Please choose among the following options: Installing OpenSpiel (for Linux and MacOS; see separate Windows Installation instructions.) Introduction to OpenSpiel API Overview and First Example API Reference Overview of Implemented Games Overview of Implemented Algorithms Developer Guide Using OpenSpiel as a C++ Library Guidelines and Contributing Authors For a longer introduction to the core concepts, formalisms, and terminology, including an overview of the algorithms and some results, please see OpenSpiel: A Framework for Reinforcement Learning in Games.","default_branch":null,"files":null,"tree":[],"storefront":"/r/google-deepmind","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/google-deepmind/open_spiel/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}