DQN_vehicle_energy

Tensorflow implementation of our paper "Deep reinforcement learning-based vehicle energy efficiency autonomous learning system" [Link].

Dependencies

• Python 2.7
• Tensorflow

Usage

python DQN.py

Citation

Please cite the following paper in your publications if it helps your research:

@inproceedings{DBLP:conf/ivs/QiLWBB17,
      author    = {Xuewei Qi and
                   Yadan Luo and
                   Guoyuan Wu and
                   Kanok Boriboonsomsin and
                   Matthew J. Barth},
      title     = {Deep reinforcement learning-based vehicle energy efficiency autonomous
                   learning system},
      booktitle = {{IEEE} Intelligent Vehicles Symposium, {IV} 2017, Los Angeles, CA,
                   USA, June 11-14, 2017},
      pages     = {1228--1233},
      year      = {2017},
      crossref  = {DBLP:conf/ivs/2017},
      url       = {https://doi.org/10.1109/IVS.2017.7995880},
      doi       = {10.1109/IVS.2017.7995880},
      timestamp = {Sun, 06 Aug 2017 15:17:33 +0200},
      biburl    = {https://dblp.org/rec/bib/conf/ivs/QiLWBB17},
      bibsource = {dblp computer science bibliography, https://dblp.org}
    }
    
    
@article{qi2019deep,
      title={Deep reinforcement learning enabled self-learning control for energy efficient driving},
      author={Qi, Xuewei and Luo, Yadan and Wu, Guoyuan and Boriboonsomsin, Kanok and Barth, Matthew},
      journal={Transportation Research Part C: Emerging Technologies},
      volume={99},
      pages={67--81},
      year={2019},
      publisher={Elsevier}
    }