A benchmark for offline goal-conditioned RL and offline RL

Gym-like environment to interact with manipulator robots

AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World

An example RLDS dataset builder for X-embodiment dataset conversion.

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

A collection of reference environments for offline reinforcement learning

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Diffusion Policy Policy Optimization

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

CALVIN with minor changes

Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A set of environments utilizing pybullet for simulation of robotic manipulation tasks.

An offline deep reinforcement learning library

Library for Model Based RL

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