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

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

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)

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

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

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

Decision Intelligence Platform for Autonomous Driving simulation.

An OpenAI gym wrapper for CARLA simulator