MarioPPO

Industry-standard navigation-mesh toolset for games

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

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

behaviac is a framework of the game AI development, and it also can be used as a rapid game prototype design tool. behaviac supports the behavior tree, finite state machine and hierarchical task network(BT, FSM, HTN)

A Unity library for common movement AI

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

JavaScript library for developing Game AI.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

??? A fast and strong AI for riichi mahjong, powered by Rust and deep reinforcement learning.