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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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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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A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning

Jul 15, 2019
Nicholas C. Landolfi, Garrett Thomas, Tengyu Ma

* 13 pages, 3 figures 

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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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Social Cohesion in Autonomous Driving

Aug 27, 2018
Nicholas C. Landolfi, Anca D. Dragan


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