An elegant PyTorch deep reinforcement learning library.

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

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning

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

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

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

[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

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

Decision Intelligence Platform for Autonomous Driving simulation.

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

An OpenAI gym wrapper for CARLA simulator

A unified framework for robot learning

Imitation learning algorithms

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

TensorFlow2 Reinforcement Learning

TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning