/Nicholas Rhinehart

Nicholas Rhinehart

Portrait of Nicholas Rhinehart
PhD Student
Office: 230 Elliot Dunlap Smith Hall
Phone: (412) 268-3818
Advisor: Kris M. Kitani
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Displaying 15 Publications
First-Person Activity Forecasting from video with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris Kitani

Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2018), November, 2018
R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting
Nick Rhinehart, Paul Vernaza and Kris Kitani

Conference Paper, European Conference on Computer Vision (ECCV 2018), Part of the Lecture Notes in Computer Science book series (LNCS, volume 11217), pp. 794 - 811, October, 2018
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen and Kris M. Kitani

Conference Paper, submitted 21 June, 2018; originally announced June 2018; arXiv:1806.08479, June, 2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling and Kris M. Kitani

Conference Paper, submitted 20 June, 2018; originally announced June 2018; arXiv:1806.07822, June, 2018
Learning Hierarchical Policies from Unsegmented Demonstrations using Causal Information
Mohit Sharma, Arjun Sharma, Nicholas Rhinehart and Kris M. Kitani

Conference Paper, Robotics: Science and Systems, Workshop on Perspectives in Robot Learning: Causality and Imitation, June, 2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling and Kris M. Kitani

Conference Paper, Robotics: Science and Systems, Workshop on Perspectives in Robot Learning: Causality and Imitation, June, 2018
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani and Andrew J. Bagnell

Conference Paper, 31st Conference on Neural Information Processing Systems (NIPS 2017), December, 2017
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris M. Kitani

Conference Paper, International Conference on Computer Vision, October, 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani and J. Andrew Bagnell

Conference Paper, submitted 25 September, 2017; originally announced September 2017; arXiv:1709.08520, September, 2017
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris M. Kitani

Conference Paper, submitted 6 August, 2017; v1 submitted 22 December, 2016; originally announced December 2016; arXiv:1612.07796, August, 2017
Learning Action Maps of Large Environments Via First-Person Vision
Nicholas Rhinehart and Kris M. Kitani

Conference Paper, Conference on Computer Vision and Pattern Recognition (CVPR), June, 2016
Learning Action Maps of Large Environments via First-Person Vision
Nicholas Rhinehart and Kris M. Kitani

Conference Paper, submitted 5 May, 2016; originally announced May 2016; arXiv:1605.01679, May, 2016
Visual Chunking: A List Prediction Framework for Region-Based Object Detection
Nicholas Rhinehart, Jiaji Zhou, Martial Hebert and J. Andrew (Drew) Bagnell

Conference Paper, IEEE International Conference on Robotics and Automation (ICRA), May, 2015
2017-09-13T10:38:41+00:00