SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

Distributed Reinforcement Learning accelerated by Lightning Fabric

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven explora…

Long-Term Evolution Project of Reinforcement Learning

Library for Model Based RL

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

Yet Another Robotics and Reinforcement (YARR) learning framework for PyTorch.

Collection of reinforcement learning algorithms

CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL

Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.

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

A fast and simple implementation of learning algorithms for robotics.

Unified Reinforcement Learning Framework

Corax: Core RL in JAX

Really Fast End-to-End Jax RL Implementations

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

Contains JAX implementation of algorithms for inverse reinforcement learning

The Fastest Deep Reinforcement Learning Library

🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL