This repository provides reinforcement learning training environments for NVIDIA’s Isaac Sim robotics simulator. It uses PPO (Proximal Policy Optimization) from the rl_games library and is built on Isaac Sim’s omni.isaac.core and omni.isaac.gym frameworks. The environments support training various robotic tasks in a physics-accurate simulation environment.