RL
A library of reinforcement learning components and agents
A fast and simple implementation of learning algorithms for robotics.
RL Extension Library for Robots, Based on IsaacLab.
Unofficial implementaton of the paper DTC: Deep Tracking Control
Sim-to-real RL training and deployment tools for the Unitree Go1 robot.
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, Brax and other environments
The reinforcement learning training code for AgiBot X1.
Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.
A curated list of Diffusion Model in RL resources (continually updated)
A collection of reference environments for offline reinforcement learning
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Open-source code for Neural Internal Model Control (Neural-IMC)
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
Official implementation of Diffusion Policy Policy Optimization, arxiv 2024
Code for Rapid Locomotion via Reinforcement Learning
Collection of high-quality robo learning papers for bipedal robots.
Legged Robot environments for reinforcement learning in Genesis and other simulators
Official implementation of "FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation"
Flow RL is a high-performance RL library with flow and diffusion models.
The official implementation of "Horizon Reduction Makes RL Scalable"
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning