Stars
Official codebase for "Any-point Trajectory Modeling for Policy Learning"
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
[ICLR 2025 Oral] Seer: Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
Codebase for Automated Creation of Digital Cousins for Robust Policy Learning
[NeurIPS 2025]⭐️ Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning.
Base Mujoco Gymnasium environment for easily controlling any robot arm with operational space control. Built with dm-control PyMJCF for easy configuration.
An example RLDS dataset builder for X-embodiment dataset conversion.
Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.
[CVPR 2024] Hierarchical Diffusion Policy for Multi-Task Robotic Manipulation
Source Code
Official implementation of "OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning"
Official implementation of "Data Scaling Laws in Imitation Learning for Robotic Manipulation"
Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.
本项目是基于pybullet和stable baseline3 的法奥机械臂的强化学习抓取训练代码
[CoRL 24 Oral] D^3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos, ECCV 2022
A unified architecture for multimodal multi-task robotic policy learning.
Official implementation for paper "EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning".
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
A Benchmark for Evaluating Generalization for Robotic Manipulation
DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects, CVPR 2023
[NeurIPS 2024] CLOVER: Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robotics
Official implementation for pi0 steering via DSRL, Steering Your Diffusion Policy with Latent Space Reinforcement Learning (CoRL 2025)
PPO, DDPG, SAC implementation on mujoco environment
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation