A fast and simple implementation of learning algorithms for robotics.

robomimic: A Modular Framework for Robot Learning from Demonstration

Unified framework for robot learning built on NVIDIA Isaac Sim

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.

The official implementation of flow Q-learning (FQL)

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

Really Fast End-to-End Jax RL Implementations

An open-source library for GPU-accelerated robot learning and sim-to-real transfer.

Official release of CompoSuite, a compositional RL benchmark

📄 Awesome CV is LaTeX template for your outstanding job application

OpenAI Gym wrapper for the DeepMind Control Suite

Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective

Isaac Gym Reinforcement Learning Environments

Library for Model Based RL

Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"

University of Toronto cs robotics group

Input Inference for Control (i2c), a control-as-inference framework for optimal control

Structured Object-Aware Physics Prediction for Video Modeling and Planning