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license: mit
pipeline_tag: reinforcement-learning
---
<p align="left">
<a href="https://github.com/qortmdgh4141/GAS">
<img alt="Code" src="https://img.shields.io/badge/Code--lightgrey?style=social&logo=github"> </a>
<a href="https://arxiv.org/abs/2506.07744">
<img alt="Paper" src="https://img.shields.io/badge/Paper--lightgrey?style=social&logo=arxiv"> </a>
<a href="https://qortmdgh4141.github.io/projects/GAS/">
<img alt="Project Page" src="https://img.shields.io/badge/Project page--lightgrey?style=social&logo=rocket"> </a>
<a href="https://www.youtube.com/watch?v=6mxRlbn2_6s">
<img alt="YouTube Video Views" src="https://img.shields.io/badge/Talk (10min)--lightgrey?style=social&logo=youtube"> </a>
</p>
This repository provides official checkpoints for **[Graph-Assisted Stitching](https://arxiv.org/abs/2506.07744)** (**GAS**).
See the [GitHub repository](https://github.com/qortmdgh4141/GAS) and [Project page](https://qortmdgh4141.github.io/projects/GAS/) for more details.
## Citation
```bibtex
@inproceedings{gas_baek2025,
title={Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning},
author={Seungho Baek and Taegeon Park and Jongchan Park and Seungjun Oh and Yusung Kim},
booktitle={International Conference on Machine Learning (ICML)},
year={2025},
}
``` |