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List of Conference, Journal, and arXiv publications (excludes workshop publications).
The '*' character denotes co-first authorship.

1. Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
   N. Rhinehart*, J. He*, C. Packer, M. A. Wright, R. McAllister, J. E. Gonzalez, S. Levine
   IEEE International Conference on Robotics and Automation (ICRA) 2021.
   
   
2. ViNG: Learning Open-World Navigation with Visual Goals
   D. Shah, B. Eysenbach, G. Kahn, N. Rhinehart, S. Levine
   IEEE International Conference on Robotics and Automation (ICRA) 2021. pdf
   
   
3. 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)
   International Conference on Learning Representations (ICLR) 2021. pdf
   
   
4. 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)
   International Conference on Learning Representations (ICLR) 2021. pdf
   
   
5. Conservative Safety Critics for Exploration
   H. Bharadhwaj, A. Kumar,N. Rhinehart, S. Levine, F. Shkurti, A. Garg
   International Conference on Learning Representations (ICLR) 2021. pdf
   
   
6. Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting
   X. Weng, J. Wang, S. Levine, K. Kitani, N. Rhinehart
   Conference on Robot Learning (CoRL) 2020. pdf
   
   
7. Can Autonomous Vehicles Identify, Recover from, and Adapt to Distribution Shifts?
   A. Filos*, P. Tigas*, R. McAllister, N. Rhinehart, S. Levine, Y. Gal
   International Conference on Machine Learning (ICML) 2020. pdf
   
   
8. 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
   
   
9. Deep Imitative Models for Flexible Inference, Planning, and Control
   N. Rhinehart, R. McAllister, S. Levine
   International Conference on Learning Representations (ICLR) 2020. pdf
   
   
10. 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
    
    
11. 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
    
    
12. 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
    
    
13. 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
    
    
14. Learning Neural Parsers with Deterministic Differentiable Imitation Learning
    T. Shankar, N. Rhinehart, K. Muelling, K. M. Kitani
    Conference on Robot Learning (CoRL) 2018. pdf
    
    
15. 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
    
    
16. 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
    
    
17. 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
    
    
18. 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
    
    
19. 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
    
    
20. 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