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Preference-based Learning of Reward Function Features


Mar 03, 2021
Sydney M. Katz, Amir Maleki, Erdem Bıyık, Mykel J. Kochenderfer

* 8 pages, 8 figures 

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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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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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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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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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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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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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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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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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The Green Choice: Learning and Influencing Human Decisions on Shared Roads


Apr 10, 2019
Erdem Bıyık, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani

* Submitted to CDC 2019 

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Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models


Apr 01, 2019
Erdem Bıyık, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh

* Proceedings of the American Control Conference (ACC), July 2019. The first two authors have equal contribution 

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Altruistic Autonomy: Beating Congestion on Shared Roads


Oct 29, 2018
Erdem Bıyık, Daniel Lazar, Ramtin Pedarsani, Dorsa Sadigh

* Accepted to Workshop on the Algorithmic Foundations of Robotics (WAFR) 2018 

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Batch Active Preference-Based Learning of Reward Functions


Oct 10, 2018
Erdem Bıyık, Dorsa Sadigh

* Proceedings of the 2nd Conference on Robot Learning (CoRL), October 2018 

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