Reward Learning

All Publication Topics Autonomous Driving Autonomous Exploration Benchmarks Compression Computer Vision First-Person Video Forecasting Generative Models Imitation Learning Intrinsic Control Machine Learning Offroad Navigation Paper Award Planning Reinforcement Learning Reward Learning Robotics
Deep Imitative Models for Flexible Inference, Planning, and Control
Nicholas Rhinehart, Rowan McAllister, Sergey Levine.
Deep Imitative Models for Flexible Inference, Planning, and Control.
International Conference on Learning Representations, (ICLR), 2020.
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Autonomous Driving Computer Vision Forecasting Generative Models Imitation Learning Planning Reward Learning
Jointly Forecasting and Controlling Behavior by Learning from High-Dimensional Data
Nicholas Rhinehart.
Jointly Forecasting and Controlling Behavior by Learning from High-Dimensional Data.
2019.
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Autonomous Driving Forecasting Generative Models Imitation Learning Planning Reinforcement Learning Reward Learning
R2P2: A Reparameterized Pushforward Policy for Diverse, Precise Generative Path Forecasting
Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza.
R2P2: A Reparameterized Pushforward Policy for Diverse, Precise Generative Path Forecasting.
Proceedings of the European Conference on Computer Vision, (ECCV), 2018.
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Autonomous Driving Imitation Learning Forecasting Generative Models Machine Learning Reward Learning
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani.
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, (AAMAS), 2018.
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Imitation Learning Machine Learning Reward Learning
First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning
Nicholas Rhinehart, Kris Kitani.
First-Person Activity Forecasting from Video with Online Inverse Reinforcement Learning.
IEEE Transactions on Pattern Analysis and Machine Intelligence, (PAMI), 2018.
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Imitation Learning Forecasting Machine Learning Reward Learning
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
Nicholas Rhinehart, Kris M. Kitani.
First-Person Activity Forecasting with Online Inverse Reinforcement Learning.
The IEEE International Conference on Computer Vision, (ICCV), 2017.
Best Paper Honorable Mention
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Paper Award Imitation Learning Reward Learning First-Person Video
Learning Action Maps of Large Environments Via First-Person Vision
Nicholas Rhinehart, Kris M. Kitani.
Learning Action Maps of Large Environments Via First-Person Vision.
The IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2016.
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Computer Vision First-Person Video Machine Learning Reward Learning