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The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types


Aug 23, 2022
Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan


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First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization


May 24, 2022
Siddharth Reddy, Sergey Levine, Anca D. Dragan


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A Study of Causal Confusion in Preference-Based Reward Learning


Apr 13, 2022
Jeremy Tien, Jerry Zhi-Yang He, Zackory Erickson, Anca D. Dragan, Daniel Brown


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X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback


Mar 07, 2022
Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine

* Accepted to International Conference on Learning Representations (ICLR) 2021 

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Teaching Robots to Span the Space of Functional Expressive Motion


Mar 04, 2022
Arjun Sripathy, Andreea Bobu, Zhongyu Li, Koushil Sreenath, Daniel S. Brown, Anca D. Dragan


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ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning


Feb 05, 2022
Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

* Accepted to IEEE Conference on Robotics and Automation (ICRA) 2022 

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Inducing Structure in Reward Learning by Learning Features


Jan 18, 2022
Andreea Bobu, Marius Wiggert, Claire Tomlin, Anca D. Dragan

* 24 pages, 22 figures, accepted to the International Journal of Robotics Research. arXiv admin note: text overlap with arXiv:2006.13208 

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Assisted Robust Reward Design


Nov 18, 2021
Jerry Zhi-Yang He, Anca D. Dragan

* 5th Conference on Robot Learning (CoRL 2021) 

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Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models


Sep 29, 2021
Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, Anca D. Dragan


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Pragmatic Image Compression for Human-in-the-Loop Decision-Making


Jul 07, 2021
Siddharth Reddy, Anca D. Dragan, Sergey Levine


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