Active Preference-Based Gaussian Process Regression for Reward Learning

May 06, 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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