Nicholas Rhinehart
Nicholas Rhinehart
在 cs.cmu.edu 的电子邮件经过验证 - 首页
标题引用次数年份
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
N Rhinehart, KM Kitani
The IEEE International Conference on Computer Vision (ICCV), 3716-3725, 2017
652017
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
412018
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
362018
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
272016
Deep Imitative Models for Flexible Inference, Planning, and Control
N Rhinehart, R McAllister, S Levine
arXiv preprint arXiv:1810.06544, 2018
202018
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
202017
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
152019
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
72019
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
First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning
N Rhinehart, K Kitani
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
42018
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
J Guan, Y Yuan, KM Kitani, N Rhinehart
arXiv preprint arXiv:1904.06250, 2019
32019
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
32018
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
Generative adversarial inverse trajectory optimization for probabilistic vehicle forecasting
P Vernaza, W Choi, N Rhinehart
US Patent App. 16/145,555, 2019
2019
Generative adversarial inverse trajectory optimization for probabilistic vehicle forecasting
P Vernaza, W Choi, N Rhinehart
US Patent App. 16/145,649, 2019
2019
Underwater Localization and Mapping with Imaging Sonar
E Westman, D Villalba, LW Victoria, H Abroshan, EV Anderson, ...
Carnegie Mellon University, 2019
2019
Learning Gibbs-regularized GANs with variational discriminator reparameterization
N Rhinehart, A Liu, K Sohn, P Vernaza
2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
T Shankar, N Rhinehart, K Muelling, KM Kitani
arXiv:1806.07822, 2018
2018
Home/Publications
J Gao, J Shi, T Moriyama, T Kanade, J Cohn, J Xiao, Z Ambadar, ...
Workshop Paper, 2001
2001
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