Unified framework for robot learning with multi-physics/renderer support
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
RL Extension Library for Robots, Based on IsaacLab.
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
Isaac Lab - Arena is a robotics simulation framework that enhances NVIDIA Isaac Lab by providing a composable, scalable system for creating diverse simulation environments and evaluating robot learning policies. The framework enables developers to rapidly prototype and test robotic tasks with various robot embodiments, objects, and environments.
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Lightweight, GPU-accelerated reinforcement learning for Isaac Lab, mjlab, and Gymnasium.