Hoang M. Le bio photo

Hoang M. Le

Postdoc in Reinforcement Learning @ Microsoft Research AI. PhD in Computing + Mathematical Sciences @ Caltech

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My Projects and Publications

Preprints

  • Cameron Voloshin, Hoang M. Le, Nan Jiang and Yisong Yue
    Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
    (under review) , 2019
    [PDF] [BibTeX]

    @article{voloshin2019empirical,
      title={Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning},
      author={Voloshin, Cameron and Le, Hoang M and Jiang, Nan and Yue, Yisong},
      journal={arXiv preprint arXiv:1911.06854},
      year={2019}
    }
    

Peer-Reviewed Publications

  • Abhinav Verma* , Hoang M. Le*, Yisong Yue and Swarat Chaudhuri
    Imitation-Projected Programmatic Reinforcement Learning
    Neural Information Processing Systems (NeurIPS) , 2019
    (*equal contribution)
    [PDF] [BibTeX]

    @article{verma2019imitation,
      title={Imitation-Projected Programmatic Reinforcement Learning},
      author={Verma, Abhinav and Le, Hoang M and Yue, Yisong and Chaudhuri, Swarat},
      journal={arXiv preprint arXiv:1907.05431},
      year={2019}
    }
    
  • Hoang M. Le, Cameron Voloshin and Yisong Yue
    Batch Policy Learning under Constraints
    International Conference on Machine Learning (ICML), 2019
    [PDF] [Project Page] [BibTeX]

    @article{le2019batch,
      title={Batch Policy Learning under Constraints},
      author={Le, Hoang and Voloshin, Cameron and Yue, Yisong},
      booktitle={International Conference on Machine Learning},
      pages={3703--3712},
      year={2019}
    }
    
  • Andrew J. Taylor, Victor D. Dorobantu, Hoang M. Le, Yisong Yue and Aaron D. Ames
    Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems
    International Conference on Intelligent Robots and Systems (IROS) , 2019
    [PDF][code] [BibTeX]

    @article{taylor2019episodic,
      title={Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems},
      author={Taylor, Andrew J and Dorobantu, Victor D and Le, Hoang M and Yue, Yisong and Ames, Aaron D},
      journal={arXiv preprint arXiv:1903.01577},
      year={2019}
    }
    
  • Andrew J. Taylor, Victor D. Dorobantu, Meera Krisnamoorthy, Hoang M. Le, Yisong Yue and Aaron D. Ames
    A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability
    IEEE Conference on Decision and Control (CDC) , 2019
    [PDF] [BibTeX]

    @article{taylor2019acontrol,
      title={A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability},
      author={Taylor, Andrew J and Dorobantu, Victor D and Krisnamoorthy, Meera and Le, Hoang M and Yue, Yisong and Ames, Aaron D},
      journal={arXiv preprint arXiv:1903.07214},
      year={2019}
    }
    
  • Hoang M. Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue and Hal Daumé III
    Hierarchical Imitation and Reinforcement Learning
    International Conference on Machine Learning (ICML), 2018
    [PDF] [Project Page] [BibTeX]

    @inproceedings{le2018hierarchical,
      title={Hierarchical Imitation and Reinforcement Learning},
      author={Le, Hoang and Jiang, Nan and Agarwal, Alekh and Dudik, Miroslav and Yue, Yisong and Daum{\'e}, Hal},
      booktitle={International Conference on Machine Learning},
      pages={2923--2932},
      year={2018}
    }
    
  • 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}
    }
  • Riccardo Zucca, Xerxes D. Arsiwalla, Hoang M. Le, Mikail Rubinov and Paul FMJ. Verschure
    Scaling Properties of Human Brain Functional Networks
    International Conference on Artificial Neural Networks (ICANN), 2016
    [BibTeX] [PDF]

    @inproceedings{zucca2016scaling,
      title={Scaling properties of human brain functional networks},
      author={Zucca, Riccardo and Arsiwalla, Xerxes D and Le, Hoang and Rubinov, Mikail and Verschure, Paul FMJ},
      booktitle={International Conference on Artificial Neural Networks},
      pages={107--114},
      year={2016},
      organization={Springer}
    }
    
  • Hoang M. Le, Xerxes D. Arsiwalla, Riccardo Zucca and Paul FMJ. Verschure
    Topology of Brain Functional Networks
    European Conference on Complex Systems (ECCS), 2013
    [PDF]

  • Hoang M. Le and Maurice F. Aburdene
    The Discrete Gould Transform and Its Applications
    Proceedings of SPIE - the International Society for Optical Engineering Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 2006
    [PDF] [BibTeX]

    @inproceedings{le2006discrete,
    title={The discrete Gould transform and its applications},
    author={Le, Hoang M and Aburdene, Maurice},
    booktitle={Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning},
    volume={6064},
    pages={60640I},
    year={2006},
    organization={International Society for Optics and Photonics}
    }
    
  • Maurice F. Aburdene,Hoang M. Le and John E. Dorband
    Computations of the symmetric cosine transform using Forsythe and Clenshaw's recurrence formulae
    Proceedings of SPIE, Image and Video Communications and Processing, 2005
    [PDF] [BibTeX]

    @inproceedings{aburdene2005computations,
      title={Computations of the symmetric cosine transform using Forsythe and Clenshaw's recurrence formulae},
      author={Aburdene, Maurice F and Le, Hoang M and Dorband, John E},
      booktitle={Image and Video Communications and Processing 2005},
      volume={5685},
      pages={977--987},
      year={2005},
      organization={International Society for Optics and Photonics}
    }
    

Patents

Workshop and Other Publications

  • Hoang M. Le, Yisong Yue and Peter Carr
    Smooth Imitation Learning
    Interactive Machine Learning Workshop at Neural Information Processing System (NIPS), 2015
    [PDF]