PARL

paddlepaddle/paddle22.3K

Deep learning framework

A high-performance deep learning framework designed for industrial-scale training and deployment of neural networks.

vwxyzjn/cleanrl5.9K

RL library

A single-file implementation of Deep Reinforcement Learning algorithms with research-friendly features.

carperai/trlx4.5K

RL Framework

A framework for distributed reinforcement learning of large language models with human feedback

kunqian2025/reinforcement-learning61

RL framework

A collection of implementations of reinforcement learning algorithms in MATLAB

tju-drl-lab/ai-optimizer4.8K

DRL toolkit

A next-generation deep reinforcement learning toolkit with libraries for multiagent, self-supervised, offline, and transfer/reinforcement learning

luchris429/purejaxrl755

RL framework

A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality

rlcode/reinforcement-learning3.4K

RL Examples

A collection of clean and minimal examples for various reinforcement learning algorithms

sjtu-marl/malib507

RL framework

A framework for parallel population-based reinforcement learning

replicable-marl/marllib960

MARL framework

A comprehensive platform for developing and testing Multi-agent Reinforcement Learning algorithms in various tasks and environments.

yandexdataschool/practical_rl6K

RL tutorial

An educational resource teaching practical reinforcement learning skills in Python using popular deep learning frameworks.

huggingface/trl10.3K

Transformer model trainer

A library designed to train transformer language models with reinforcement learning using various optimization techniques and fine-tuning methods.

paddlepaddle/paddlefl499

Federated Learning Framework

A framework that enables secure and efficient distributed machine learning across multiple organizations without sharing raw data.

iffix/machin402

RL framework

An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms.

hubfire/muti-branch-ddpg-carla81

Reinforcement Learning algorithm

An implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments.

alex-petrenko/sample-factory839

RL library

A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients.