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List of Conference, Journal, and arXiv publications. Last updated Jan. 2020.
  1. Deep Imitative Models for Flexible Inference, Planning, and Control
    N. Rhinehart, R. McAllister, S. Levine
    International Conference on Learning Representations (ICLR) 2020. pdf

  2. PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
    N. Rhinehart, R. McAllister, K. M. Kitani, S. Levine
    IEEE International Conference on Computer Vision (ICCV) 2019. pdf

  3. Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
    J. Guan, Y. Yuan, K. M. Kitani, N. Rhinehart
    arXiv 2019. pdf

  4. Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
    M. Sharma, A. Sharma, N. Rhinehart, K. M. Kitani
    International Conference on Learning Representations (ICLR) 2019. pdf

  5. First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning
    N. Rhinehart, K. Kitani
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2018. pdf

  6. R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting
    N. Rhinehart, K. M. Kitani, P. Vernaza
    European Conference on Computer Vision (ECCV) 2018. pdf

  7. Learning Neural Parsers with Deterministic Differentiable Imitation Learning
    T. Shankar, N. Rhinehart, K. Muelling, K. M. Kitani
    Conference on Robot Learning (CoRL) 2018. pdf

  8. Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
    X. Pan, E. Ohn-Bar, N. Rhinehart, Y. Xu, Y. Shen, K. M. Kitani
    International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2018. pdf

  9. N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
    A. Ashok, N. Rhinehart, F. Beainy, K. Kitani
    International Conference on Learning Representations (ICLR) 2018. pdf

  10. Predictive-State Decoders: Encoding the Future Into Recurrent Neural Networks
    A. Venkataraman*, N. Rhinehart*, W. Sun, L. Pinto, M. Hebert, B. Boots, K. Kitani, J. A. Bagnell
    Conference on Neural Information Processing Systems (NIPS) 2017. pdf

  11. First-Person Activity Forecasting with Online Inverse Reinforcement Learning
    N. Rhinehart, K. Kitani
    IEEE International Conference on Computer Vision (ICCV) 2017. pdf

  12. Learning Action Maps of Large Environments Via First-Person Vision
    N. Rhinehart, K. Kitani
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016. pdf

  13. Visual Chunking: A List Prediction Framework for Region-Based Object Detection
    N. Rhinehart, J. Zhou, M. Hebert, J. A. Bagnell
    IEEE International Conference on Robotics and Automation (ICRA) 2015. pdf