Fast and simple implementation of RL algorithms, designed to run fully on GPU.

Last update: Dec 29, 2022

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Overview

RSL RL

Fast and simple implementation of RL algorithms, designed to run fully on GPU. This code is an evolution of rl-pytorch provided with NVIDIA's Isaac GYM.

Only PPO is implemented for now. More algorithms will be added later. Contributions are welcome.

Setup

git clone https://github.com/leggedrobotics/rsl_rl
cd rsl_rl
pip install -e .

Maintainer: Nikita Rudin
Affiliation: Robotic Systems Lab, ETH Zurich & NVIDIA Contact: [email protected]

Owner

Robotic Systems Lab - Legged Robotics at ETH Zürich

The Robotic Systems Lab investigates the development of machines and their intelligence to operate in rough and challenging environments.

GitHub Repository

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