PaddlePaddle/PARL

A library of reinforcement learning components and agents

Massively Parallel Deep Reinforcement Learning. 🔥

Tensorforce: a TensorFlow library for applied reinforcement learning

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

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Puffing up reinforcement learning

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

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI