I am a PhD Candidate in Computing + Mathematical Sciences at Caltech. I do machine learning with Professor Yisong Yue.

I’m interested in sequential decision problems: specifically, how to efficiently integrate domain knowledge into data-driven methods . My research overlaps with reinforcement learning, imitation learning and optimal control.

I’m fortunate to spend previous two summers at Microsoft Research in NYC and Disney Research in Pittsburgh. I’m currently supported by an Amazon AI Graduate fellowship.

News & Announcements

• I'm giving a tutorial on Imitation Learning, together with Professor Yisong Yue at the International Conference on Machine Learning (ICML) in Stockholm in July 2018
• I'm TA-ing an advanced topics course at Caltech with a special focus on reinforcement learning

Preprints

• Hoang M. Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue and Hal Daumé III
  Hierarchical Imitation and Reinforcement Learning
  In Preparation, 2018
  [PDF] [Project Page] [BibTeX]

  @article{le2018hierarchical,
    title={Hierarchical Imitation and Reinforcement Learning},
    author={Le, Hoang M and Jiang, Nan and Agarwal, Alekh and Dud{\'\i}k, Miroslav and Yue, Yisong and Daum{\'e} III, Hal},
    journal={arXiv preprint arXiv:1803.00590},
    year={2018}
  }
  

Representative Publications

• Hoang M. Le, Yisong Yue, Peter Carr and Patrick Lucey
  Coordinated Multi-Agent Imitation Learning
  International Conference on Machine Learning (ICML), 2017
  [PDF] [long] [BibTeX]

  @inproceedings{le2017coordinated,
    title={Coordinated Multi-Agent Imitation Learning},
    author={Le, Hoang M and Yue, Yisong and Carr, Peter and Lucey, Patrick},
    booktitle={International Conference on Machine Learning},
    pages={1995--2003},
    year={2017}
  }
  

• Hoang M. Le, Peter Carr,Yisong Yue and Patrick Lucey
  Data-Driven Ghosting using Deep Imitation Learning
  MIT Sloan Sports Analytics Conference (SSAC), 2017
  (Best Paper Runner-Up Award)
  [PDF] [Project Page] [Video Demo] [BibTeX]

  @article{le2017data,
    title={Data-Driven Ghosting using Deep Imitation Learning},
    author={Le, Hoang M and Carr, Peter and Yue, Yisong and Lucey, Patrick}
    journal={MIT Sloan Sports Analytics Conference (SSAC)},
    year={2017}
  }
  

• Hoang M. Le, Andrew Kang, Yisong Yue and Peter Carr
  Smooth Imitation Learning for Online Sequence Prediction
  International Conference on Machine Learning (ICML), 2016
  [PDF] [long] [BibTeX]

  @inproceedings{le2016smooth,
    title={Smooth Imitation Learning for Online Sequence Prediction},
    author={Le, Hoang and Kang, Andrew and Yue, Yisong and Carr, Peter},
    booktitle={International Conference on Machine Learning},
    pages={680--688},
    year={2016}
  }

• Jianhui Chen, Hoang M. Le, Peter Carr, Yisong Yue and James J. Little
  Learning Online Smooth Predictors for Real-time Camera Planning using Recurrent Decision Trees
  Computer Vision and Pattern Recognition (CVPR), 2016
  (Oral Presentation)
  [PDF] [Press Release] [BibTeX]

  @inproceedings{chen2016learning,
    title={Learning online smooth predictors for realtime camera planning using recurrent decision trees},
    author={Chen, Jianhui and Le, Hoang M and Carr, Peter and Yue, Yisong and Little, James J},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    pages={4688--4696},
    year={2016}
  }

Pending Patents

• George Peter Kenneth Carr, Hoang M. Le, Yisong Yue
  Data-Driven Ghosting Using Deep Imitation Learning
  [patent pending]