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Efppo

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/learn @MIT-REALM/Efppo

README

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Epigraphic Form Proximal Policy Optimization (EFPPO)

</div> <p align="center"> <img src="https://upload.wikimedia.org/wikipedia/commons/c/ca/1x1.png" width="16%" /> <img src="https://raw.githubusercontent.com/MIT-REALM/efppo/website/public/media/hopper.gif" width="32%" /> &ensp; <img src="https://raw.githubusercontent.com/MIT-REALM/efppo/website/public/media/f16.gif" width="32%" /> <img src="https://upload.wikimedia.org/wikipedia/commons/c/ca/1x1.png" width="16%" /> </p> <div align="center">

Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning

Oswin So, Chuchu Fan

WebpagearXivPaper   ❘   InstallationGetting startedCitation

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Installation

This is a JAX-based project. To install, install jax first and other prereqs following their instructions. Next, clone the repository and install the package.

git clone https://github.com/mit-realm/efppo.git
cd efppo
pip install -e .

Getting started

Example:

python python scripts/train_dbint_inner.py --name run1
python scripts/eval_dbint_rootfind.py runs/DbInt_inner/00001-run1/ckpts/00099999/default
<div align="center"> <img src="media/dbint_example.jpg" width="50%" /> </div>

Citation

Please cite the EFPPO paper.

@inproceedings{so2023solving, 
    AUTHOR    = {Oswin So AND Chuchu Fan}, 
    TITLE     = {{Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning}}, 
    BOOKTITLE = {Proceedings of Robotics: Science and Systems}, 
    YEAR      = {2023}, 
    MONTH     = {July},  
    DOI       = {10.15607/RSS.2023.XIX.085}  
} 
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GitHub Stars11
CategoryEducation
Updated5mo ago
Forks1

Languages

Python

Security Score

72/100

Audited on Oct 21, 2025

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