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

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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 .

Useful Links

Example use case: https://github.com/leggedrobotics/legged_gym
Project website: https://leggedrobotics.github.io/legged_gym/
Paper: https://arxiv.org/abs/2109.11978

Maintainer: Nikita Rudin
Affiliation: Robotic Systems Lab, ETH Zurich & NVIDIA
Contact: rudinn@ethz.ch

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

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  • Python 86.5%
  • Jupyter Notebook 13.5%