RL
DeepMimic Mujoco version; Python only; No Bullet, No C++
Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.
Python library for Reinforcement Learning.
A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning
[CVPR 2023 Highlight] GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts.
A Reinforcement Learning Friendly Simulator for Mobile Robot
Reinforcement learning of wheel-legged robots based on Genesis
verl: Volcano Engine Reinforcement Learning for LLMs
This is a private learning repository for reinforcement learning techniques used in robotics.
[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)
This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.
🔁 AMP-RSL-RL: Adversarial Motion Priors for robotic RL (PPO + motion imitation)
Official Repository of Absolute Zero Reasoner
Rocket-recycling with Reinforcement Learning
Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc)
Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"
NVIDIA-accelerated Apriltag detection and pose estimation.
Published on Nature Machine Intelligence! The first real robot(quadrotor) based on differentiable physics training.
MiroRL is an MCP-first reinforcement learning framework for deep research agent.
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Repository relating to "Reinforcement Learning Meets Visual Odometry" (ECCV, 2024).
[CoRL 2025] Real-world RL. Official implementation of "Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids"
codes for R-Zero: Self-Evolving Reasoning LLM from Zero Data (https://www.arxiv.org/pdf/2508.05004)