Stars
Efficient Task Space Inverse Dynamics (TSID) based on Pinocchio
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
An offline deep reinforcement learning library
3D目标检测与位姿估计学习笔记
Isaac Gym Environments for Legged Robots
A Tutorial on Manipulator Differential Kinematics
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Python bindings to the pointcloud library (pcl)
A generative world for general-purpose robotics & embodied AI learning.
Python inverse kinematics based on Pinocchio
A ROS/Python API for controlling and managing the Franka Emika Panda robot (real and simulated).
Robotics Toolbox for MATLAB
Robotics Toolbox for Python
A reinforcement learning project for robotic arm under sparse reward
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 2020] Learning a Decentralized Multiarm Motion Planner
Concise pytorch implements of DRL algorithms, including REINFORCE 7591 , A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
Massively Parallel Deep Reinforcement Learning. 🔥
Example models using DeepSpeed
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…