- Mujoco Tutorial: Tutorial on how to get started with MuJoCo simulations.
- Dex-URDF: This repository offers an assortment of high-quality models for dexterous hands and objects. Both of them are in URDF format.
- Mujoco-Menagerie: A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
- OpenDR: A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning.
- PyTorch-Kinematics: Robot kinematics implemented in pytorch.
- RL-Games: High performance Reinforcement Learning library.
- Let's do Inverse RL: This repository contains PyTorch (v0.4.1) implementations of Inverse Reinforcement Learning (IRL) algorithms.
- Awesome-Imitation-Learning: A curated list of awesome imitation learning resources and publications.
- Inverse Reinforcement Learning: Implementations of selected inverse reinforcement learning algorithms.
- Popular-RL-Algorithms: PyTorch and Tensorflow 2.0 implementation of state-of-the-art model-free reinforcement learning algorithms.
- pytorch-a2c-ppo-acktr: This implementation is inspired by the OpenAI baselines for A2C, ACKTR and PPO.
- Baby A3C: A high-performance Atari A3C agent in 180 lines of PyTorch.
- Diffusion-Literature-for-Robotics: This repository offers a brief summary of essential papers and blogs.
- Awesome Model-Based Reinforcement Learning: This is a collection of research papers for model-based reinforcement learning (mbrl).