NVIDIA Isaac Lab

NVIDIA Isaac Lab is a dataset and benchmark used to evaluate reinforcement learning algorithms in simulation, particularly for robotics tasks involving complex, obstacle-rich environments.

Papers using NVIDIA Isaac Lab (3)

Critic Architecture Matters: Dual vs. Unified Critics for Humanoid Loco-Manipulation2026PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC2026A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control2026