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Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections


Jul 06, 2021
Dylan P. Losey, Andrea Bajcsy, Marcia K. O'Malley, Anca D. Dragan


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Policy Gradient Bayesian Robust Optimization for Imitation Learning


Jun 21, 2021
Zaynah Javed, Daniel S. Brown, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca D. Dragan, Ken Goldberg

* In proceedings of the International Conference on Machine Learning (ICML) 2021 

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Preference learning along multiple criteria: A game-theoretic perspective


May 05, 2021
Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright

* 47 pages; published as a conference paper at NeurIPS 2020 

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Optimal Cost Design for Model Predictive Control


Apr 23, 2021
Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan

* In proceedings of 3rd Annual Learning for Dynamics & Control Conference (L4DC) 2021 

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Agnostic learning with unknown utilities


Apr 17, 2021
Kush Bhatia, Peter L. Bartlett, Anca D. Dragan, Jacob Steinhardt

* 30 pages; published as a conference paper at ITCS 2021 

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Situational Confidence Assistance for Lifelong Shared Autonomy


Apr 14, 2021
Matthew Zurek, Andreea Bobu, Daniel S. Brown, Anca D. Dragan

* In proceedings ICRA 2021 

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Dynamically Switching Human Prediction Models for Efficient Planning


Mar 13, 2021
Arjun Sripathy, Andreea Bobu, Daniel S. Brown, Anca D. Dragan

* ICRA '21 

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Analyzing Human Models that Adapt Online


Mar 09, 2021
Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan

* ICRA 2021 

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On complementing end-to-end human motion predictors with planning


Mar 09, 2021
Liting Sun, Xiaogang Jia, Anca D. Dragan


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Assisted Perception: Optimizing Observations to Communicate State


Aug 06, 2020
Siddharth Reddy, Sergey Levine, Anca D. Dragan


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Feature Expansive Reward Learning: Rethinking Human Input


Jun 23, 2020
Andreea Bobu, Marius Wiggert, Claire Tomlin, Anca D. Dragan

* 16 pages, 15 figures 

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Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections


Feb 28, 2020
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan

* 20 pages. 12 figures, 1 table. IEEE Transactions on Robotics, 2020 

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Reward-rational (implicit) choice: A unifying formalism for reward learning


Feb 12, 2020
Hong Jun Jeon, Smitha Milli, Anca D. Dragan


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LESS is More: Rethinking Probabilistic Models of Human Behavior


Jan 13, 2020
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan

* 9 pages, 7 figures 

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Learning Human Objectives by Evaluating Hypothetical Behavior


Dec 05, 2019
Siddharth Reddy, Anca D. Dragan, Sergey Levine, Shane Legg, Jan Leike


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Nonverbal Robot Feedback for Human Teachers


Nov 06, 2019
Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan

* CoRL 2019 

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A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning


Oct 29, 2019
Somil Bansal, Andrea Bajcsy, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin


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Scaled Autonomy: Enabling Human Operators to Control Robot Fleets


Sep 22, 2019
Gokul Swamy, Siddharth Reddy, Sergey Levine, Anca D. Dragan


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Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games


Sep 12, 2019
David Fridovich-Keil, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin

* 8 pages, 3 figures, under review at Robotics and Automation Letters 

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Bayesian Robustness: A Nonasymptotic Viewpoint


Jul 27, 2019
Kush Bhatia, Yi-An Ma, Anca D. Dragan, Peter L. Bartlett, Michael I. Jordan

* 30 pages, 5 figures 

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On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference


Jun 23, 2019
Rohin Shah, Noah Gundotra, Pieter Abbeel, Anca D. Dragan

* Published at ICML 2019 

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SQIL: Imitation Learning via Regularized Behavioral Cloning


Jun 14, 2019
Siddharth Reddy, Anca D. Dragan, Sergey Levine


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An Extensible Interactive Interface for Agent Design


Jun 10, 2019
Matthew Rahtz, James Fang, Anca D. Dragan, Dylan Hadfield-Menell

* Presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA 

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Learning from Extrapolated Corrections


Mar 10, 2019
Jason Y. Zhang, Anca D. Dragan


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Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning


Mar 09, 2019
Smitha Milli, Anca D. Dragan


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Human-AI Learning Performance in Multi-Armed Bandits


Dec 21, 2018
Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan

* Artificial Intelligence, Ethics and Society (AIES) 2019 

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