PPO Lagrangian in JAX

Related tags

Deep Learningjax-ppo
Overview

PPO Lagrangian in JAX

This repository implements PPO in JAX. Implementation is tested on the safety-gym benchmark.

Usage

Install dependencies using the following-

pip install -r requirements.txt

Install safety-gym (after installing mujoco-py) using the following-

git clone https://github.com/openai/safety-gym.git
cd safety-gym
pip install -e .

Train the PPO agent using the following-

python train.py --env=Safexp-CarGoal1-v0

Results will be stored in the logs folder. To create a plot run the following-

python plot.py

Citation

In case you find the code helpful then please cite the following-

@misc{ppolag,
  author = {Suri, Karush},
  title = {{PPO Lagrangian in JAX.}},
  url = {https://github.com/karush17/jax-ppo},
  year = {2021}
}
Owner
Karush Suri
Deep Learning Researcher at Huawei Noah's Ark Lab, Toronto.
Karush Suri
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