Nicholas Rhinehart
Nicholas Rhinehart
Postdoc, UC Berkeley
Verifierad e-postadress på berkeley.edu - Startsida
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First-Person Activity Forecasting with Online Inverse Reinforcement Learning
N Rhinehart, KM Kitani
The IEEE International Conference on Computer Vision (ICCV), 3716-3725, 2017
792017
N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning
A Ashok, N Rhinehart, F Beainy, KM Kitani
International Conference on Learning Representations (ICLR), 2018
702018
R2P2: A Reparameterized Pushforward Policy for Diverse, Precise Generative Path Forecasting
N Rhinehart, KM Kitani, P Vernaza
Proceedings of the European Conference on Computer Vision (ECCV), 772-788, 2018
602018
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
N Rhinehart, R McAllister, K Kitani, S Levine
Proceedings of the IEEE International Conference on Computer Vision, 2019
422019
Deep Imitative Models for Flexible Inference, Planning, and Control
N Rhinehart, R McAllister, S Levine
arXiv preprint arXiv:1810.06544, 2018
282018
Learning Action Maps of Large Environments Via First-Person Vision
N Rhinehart, KM Kitani
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
282016
Predictive-state decoders: Encoding the future into recurrent networks
A Venkatraman, N Rhinehart, W Sun, L Pinto, M Hebert, B Boots, ...
Advances in Neural Information Processing Systems, 1172-1183, 2017
272017
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
A Sharma, M Sharma, N Rhinehart, KM Kitani
International Conference on Learning Representations (ICLR), 2019
132019
First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning
N Rhinehart, K Kitani
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
102018
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
X Pan, E Ohn-Bar, N Rhinehart, Y Xu, Y Shen, KM Kitani
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
62018
Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting
X Weng, J Wang, S Levine, K Kitani, N Rhinehart
arXiv preprint arXiv:2003.08376, 2020
52020
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
J Guan, Y Yuan, KM Kitani, N Rhinehart
arXiv preprint arXiv:1904.06250, 2019
52019
Visual chunking: A list prediction framework for region-based object detection
N Rhinehart, J Zhou, M Hebert, JA Bagnell
2015 IEEE International Conference on Robotics and Automation (ICRA), 5448-5454, 2015
52015
SMiRL: Surprise Minimizing RL in Dynamic Environments
G Berseth, D Geng, C Devin, N Rhinehart, C Finn, D Jayaraman, S Levine
arXiv preprint arXiv:1912.05510, 2019
32019
Robust imitative planning: Planning from demonstrations under uncertainty
P Tigas, A Filos, R McAllister, N Rhinehart, S Levine, Y Gal
arXiv preprint arXiv:1907.01475, 2019
12019
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
A Filos, P Tigas, R McAllister, N Rhinehart, S Levine, Y Gal
arXiv preprint arXiv:2006.14911, 2020
2020
Balancing diversity and precision of generative models with complementary density estimators
P Vernaza, N Rhinehart, A Liu, K Sohn
US Patent App. 16/406,242, 2019
2019
Traffic prediction with reparameterized pushforward policy for autonomous vehicles
P Vernaza, N Rhinehart
US Patent App. 16/266,713, 2019
2019
Home/Publications
M Hsiao, M Kaess, R Madaan, S Scherer, Y Hou, MT Mason, Y Yang, ...
Journal Article, 2019
2019
Generative adversarial inverse trajectory optimization for probabilistic vehicle forecasting
P Vernaza, W Choi, N Rhinehart
US Patent App. 16/145,555, 2019
2019
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Artiklar 1–20