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List of Conference, Journal, and arXiv publications (excludes workshop publications).
The '*' character denotes co-first authorship.
  1. Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
    A. Singh*, H. Liu*, G. Zhou, A. Yu, N. Rhinehart, S. Levine
    Oral Presentation (1.8% of submissions)
    ICLR 2021. pdf

  2. SMiRL: Surprise Minimizing RL in Dynamic Environments
    G. Berseth, D. Geng, C. Devin, N. Rhinehart, C. Finn, D. Jayaraman, S. Levine
    Oral Presentation (1.8% of submissions)
    ICLR 2021. pdf

  3. Conservative Safety Critics for Exploration
    H. Bharadhwaj, A. Kumar,N. Rhinehart, S. Levine, F. Shkurti, A. Garg
    ICLR 2021. pdf

  4. ViNG: Learning Open-World Navigation with Visual Goals
    D. Shah, B. Eysenbach, G. Kahn, N. Rhinehart, S. Levine
    arXiv 2020. pdf

  5. Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting
    X. Weng, J. Wang, S. Levine, K. Kitani, N. Rhinehart
    CoRL 2020. pdf

  6. Can Autonomous Vehicles Identify, Recover from, and Adapt to Distribution Shifts?
    A. Filos*, P. Tigas*, R. McAllister, N. Rhinehart, S. Levine, Y. Gal
    ICML 2020 pdf

  7. Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
    J. Guan, Y. Yuan, K. M. Kitani, N. Rhinehart
    Oral Presentation (4.6% of submissions)
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020. pdf

  8. Deep Imitative Models for Flexible Inference, Planning, and Control
    N. Rhinehart, R. McAllister, S. Levine
    International Conference on Learning Representations (ICLR) 2020. pdf

  9. 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

  10. 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

  11. 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

  12. 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

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

  14. 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

  15. 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

  16. 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

  17. First-Person Activity Forecasting with Online Inverse Reinforcement Learning
    N. Rhinehart, K. Kitani
    Best Paper Honorable Mention Award (3 of 2,143 submissions)
    IEEE International Conference on Computer Vision (ICCV) 2017. pdf

  18. 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

  19. 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