nvidia-cosmos/cosmos-rl

UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

Unified framework for robot learning with multi-physics/renderer support

A high-performance distributed training framework for Reinforcement Learning

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control

Simulation verification and physical deployment of robot reinforcement learning algorithms, suitable for quadruped robots, wheeled robots, and humanoid robots. "sar" represents "simulation and real"

NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

A library of reinforcement learning components and agents