Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
This is a PyTorch implementation of the paper: Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
Project Website: https://sites.google.com/view/mage-x23
Training
You could start training with by running sh train_gridworld.sh in directory onpolicy/scripts.
Evaluation
Similar to training, you could run sh render_mpe.sh in directory onpolicy/scripts to start evaluation. Remember to set up your path to the cooresponding model, correct hyperparameters and related evaluation parameters.
Citation
If you find this repository useful, please cite our paper:
@misc{yang2023learning,
title={Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation},
author={Xinyi Yang and Shiyu Huang and Yiwen Sun and Yuxiang Yang and Chao Yu and Wei-Wei Tu and Huazhong Yang and Yu Wang},
year={2023},
eprint={2302.04094},
archivePrefix={arXiv},
primaryClass={cs.RO}
}