rlglab/minizero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)

A simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

A library of reinforcement learning components and agents

Ultimate SFighterAI

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.