Repository Index

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-learning

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.

• reinforcement-learning
• unity3d
• deep-learning
• unity

FinRL®: Financial Reinforcement Learning. 🔥

• deep-reinforcement-learning
• drl-trading-agents
• stock-trading
• drl-algorithms

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

• reinforcement-learning
• reinforcement-learning-algorithms
• machine-learning
• gym

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

• api
• gym
• reinforcement-learning

An elegant PyTorch deep reinforcement learning library.

• pytorch
• policy-gradient
• dqn
• double-dqn

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

• wandb
• reinforcement-learning
• pytorch
• python

StarCraft II Learning Environment

• reinforcement-learning
• machine-learning
• starcraft-ii
• starcraft-ii-replays

PyTorch implementations of deep reinforcement learning algorithms and environments

GTP engine and self-play learning in Go

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

• machine-learning
• artificial-intelligence
• neural-networks
• deep-learning

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

• policy-gradient
• pytorch
• actor-critic-algorithm
• alphago

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

• tensorflow
• pytorch
• keras
• gobang

Massively Parallel Deep Reinforcement Learning. 🔥

• pytorch
• reinforcement-learning
• ppo
• sac

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

• reinforcement-learning-algorithms
• reinforcement-learning
• machine-learning
• gym

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

• pytorch
• reinforcement-learning
• deep-learning
• deep-reinforcement-learning

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

• reinforcement-learning
• multiagent-reinforcement-learning
• self-play
• imitation-learning

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

• alphazero
• mcts
• alphago-zero
• gomoku

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

• reinforcement-learning
• deep-reinforcement-learning
• game-ai
• poker

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

• api
• gymnasium
• multi-agent-reinforcement-learning
• reinforcement-learning

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

• deep-reinforcement-learning
• pytorch
• reinforcement-learning
• machine-learning

Modularized Implementation of Deep RL Algorithms in PyTorch

• pytorch
• deep-reinforcement-learning
• dqn
• dueling-network-architecture

A collection of environments for autonomous driving and tactical decision-making tasks

• reinforcement-learning
• autonomous-driving
• gymnasium-environment