Dorsa Sadigh

Learning User-Preferred Mappings for Intuitive Robot Control

Jul 22, 2020
Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh

* 8 pages, 7 figures, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2020

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Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

Jul 01, 2020
Zhangjie Cao, Erdem Bıyık, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh

* 10 pages, 7 figures. Published at Robotics: Science and Systems (RSS) 2020

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**Formalizing and Guaranteeing* Human-Robot Interaction**

Jun 30, 2020
Hadas Kress-Gazit, Kerstin Eder, Guy Hoffman, Henny Admoni, Brenna Argall, Ruediger Ehlers, Christoffer Heckman, Nils Jansen, Ross Knepper, Jan Křetínský, Shelly Levy-Tzedek, Jamy Li, Todd Murphey, Laurel Riek, Dorsa Sadigh

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Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences

Jun 24, 2020
Erdem Bıyık, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh

* 19 pages, 17 figures. Submitted to The International Journal of Robotics Research (IJRR)

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Active Preference-Based Gaussian Process Regression for Reward Learning

Jun 03, 2020
Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh

* Proceedings of Robotics: Science and Systems (RSS), July 2020

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Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints

May 29, 2020
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg

* Robotics Science and Systems (RSS) 2020; Source code at https://github.com/sisl/SCoBA.jl

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Shared Autonomy with Learned Latent Actions

May 11, 2020
Hong Jun Jeon, Dylan P. Losey, Dorsa Sadigh

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BLEU Neighbors: A Reference-less Approach to Automatic Evaluation

Apr 29, 2020
Kawin Ethayarajh, Dorsa Sadigh

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Exchangeable Input Representations for Reinforcement Learning

Mar 19, 2020
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer

* 6 pages, 7 figures

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When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans

Jan 13, 2020
Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh

* ACM/IEEE International Conference on Human-Robot Interaction

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Continual adaptation for efficient machine communication

Nov 22, 2019
Robert D. Hawkins, Minae Kwon, Dorsa Sadigh, Noah D. Goodman

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Learning from My Partner's Actions: Roles in Decentralized Robot Teams

Oct 28, 2019
Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh

* Conference on Robot Learning (CoRL), 2019

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Controlling Assistive Robots with Learned Latent Actions

Oct 16, 2019
Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh

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Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

Oct 10, 2019
Erdem Bıyık, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh

* Proceedings of the 3rd Conference on Robot Learning (CoRL), October 2019

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Robots that Take Advantage of Human Trust

Sep 12, 2019
Dylan P. Losey, Dorsa Sadigh

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Learning How to Dynamically Route Autonomous Vehicles on Shared Roads

Sep 09, 2019
Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh, Ramtin Pedarsani

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Learning Reward Functions by Integrating Human Demonstrations and Preferences

Jun 21, 2019
Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh

* Presented at RSS 2019

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Batch Active Learning Using Determinantal Point Processes

Jun 19, 2019
Erdem Bıyık, Kenneth Wang, Nima Anari, Dorsa Sadigh

* Submitted to NeurIPS 2019

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Deep Local Trajectory Replanning and Control for Robot Navigation

May 13, 2019
Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vázquez

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Object Exchangeability in Reinforcement Learning: Extended Abstract

May 07, 2019
John Mern, Dorsa Sadigh, Mykel Kochenderfer

* In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), Montreal,Canada, May 13 to 17, 2019,IFAAMAS, 3 pages

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