Robot Reinforcement Learning
This repo has examples of how to use NVIDIA Omniverse Isaac Simulator to train robots to perform tasks using Reinforcement Learning (RL)
The NVIDIA Omniverse Isaac Simulator (OIS) is a realistic robotic sim that can be used to train robots to perform tasks using Reinforcement Learning (RL) and Proximal Policy Optimization (PPO). In this repo, you can find examples of how to train and evaluate different robots (eg: Franka) on different RL tasks (eg: opening a cabinet drawer)



