Skip to content

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

License

Notifications You must be signed in to change notification settings

illidanlab/Simulator

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Simulator

This simulator serves as the training and evaluation platform in the following work:

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou
KDD 2018 Long presentation

Prerequisites

  • Python 2

Run

cd ./tests/
python run_example.py

Docs

Please find more details of usage in Wiki

References

If you find this work helpful in your research, please consider citing the following paper. The bibtex are listed below:

@article{lin2018efficient,
  title={Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning},
  author={Lin, Kaixiang and Zhao, Renyu and Xu, Zhe and Zhou, Jiayu},
  journal={arXiv preprint arXiv:1802.06444},
  year={2018}
}

About

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages