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Dorsa Sadigh
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic

Dec 28, 2020
Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani

* To appear at ICCPS 2021. 11 pages, 4 figures 
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Learning Latent Representations to Influence Multi-Agent Interaction

Nov 12, 2020
Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh

* Conference on Robot Learning (CoRL) 2020. Supplementary website at https://sites.google.com/view/latent-strategies/ 
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ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes

Nov 09, 2020
Kejun Li, Maegan Tucker, Erdem Bıyık, Ellen Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames

* 6 pages; 7 figures 
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Learning Adaptive Language Interfaces through Decomposition

Oct 11, 2020
Siddharth Karamcheti, Dorsa Sadigh, Percy Liang

* Accepted at the 1st Workshop for Interactive and Executable Semantic Parsing (IntEx-SemPar) @ EMNLP 2020. 11 pages, 5 figures 
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Multi-Agent Safe Planning with Gaussian Processes

Aug 10, 2020
Zheqing Zhu, Erdem Bıyık, Dorsa Sadigh

* 9 pages, 5 figures. Published at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 
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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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