Main website
List of Conference, Journal, and arXiv publications (excludes workshop publications).
The '*' character denotes co-first authorship.
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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.
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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
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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
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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
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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
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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
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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
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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
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Deep Imitative Models for Flexible Inference, Planning, and Control
N. Rhinehart, R. McAllister, S. Levine
International Conference on Learning Representations (ICLR) 2020. pdf
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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
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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
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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
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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
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Learning Neural Parsers with Deterministic Differentiable Imitation Learning
T. Shankar, N. Rhinehart, K. Muelling, K. M. Kitani
Conference on Robot Learning (CoRL) 2018. pdf
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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
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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
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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
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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
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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
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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