Artykuły udostępnione publicznie: - Nicholas RhinehartWięcej informacji
Dostępne w jakimś miejscu: 11
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
Upoważnienia: US Department of Defense, US Office of the Director of National Intelligence
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
Upoważnienia: US Office of the Director of National Intelligence
Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
A Filos, P Tigkas, R McAllister, N Rhinehart, S Levine, Y Gal
International Conference on Machine Learning, 3145-3153, 2020
Upoważnienia: US Department of Defense, UK Engineering and Physical Sciences Research Council
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
N Rhinehart, KM Kitani
The IEEE International Conference on Computer Vision (ICCV), 3716-3725, 2017
Upoważnienia: US National Science Foundation
Ving: Learning open-world navigation with visual goals
D Shah, B Eysenbach, G Kahn, N Rhinehart, S Levine
2021 IEEE International Conference on Robotics and Automation (ICRA), 13215 …, 2021
Upoważnienia: US Department of Defense
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, 11-20, 2021
Upoważnienia: US Department of Defense
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
Upoważnienia: US National Science Foundation, US Department of Defense
First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning
N Rhinehart, K Kitani
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
Upoważnienia: US National Science Foundation
Contingencies from observations: Tractable contingency planning with learned behavior models
N Rhinehart, J He, C Packer, MA Wright, R McAllister, JE Gonzalez, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 13663 …, 2021
Upoważnienia: US Department of Defense
Information is power: Intrinsic control via information capture
N Rhinehart, J Wang, G Berseth, J Co-Reyes, D Hafner, C Finn, S Levine
Advances in Neural Information Processing Systems 34, 10745-10758, 2021
Upoważnienia: US Department of Defense, Canadian Institutes of Health Research, Natural …
Hybrid imitative planning with geometric and predictive costs in off-road environments
N Dashora, D Shin, D Shah, H Leopold, D Fan, A Agha-Mohammadi, ...
2022 International Conference on Robotics and Automation (ICRA), 4452-4458, 2022
Upoważnienia: US Department of Defense
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