Open-source simulator for autonomous driving research.

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

An elegant PyTorch deep reinforcement learning library.

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Clean PyTorch implementations of imitation and reward learning algorithms

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

A curated list of Decision Transformer resources (continually updated)

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

BabyAI platform. A testbed for training agents to understand and execute language commands.

[CoRL 2024] HumanPlus: Humanoid Shadowing and Imitation from Humans

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Dobb·E: An open-source, general framework for learning household robotic manipulation

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Decision Intelligence Platform for Autonomous Driving simulation.

An OpenAI gym wrapper for CARLA simulator