Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints

May 27, 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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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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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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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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Unsupervised Visuomotor Control through Distributional Planning Networks

Feb 14, 2019
Tianhe Yu, Gleb Shevchuk, Dorsa Sadigh, Chelsea Finn

* Videos available at https://sites.google.com/view/dpn-public/ 

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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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Efficient and Trustworthy Social Navigation Via Explicit and Implicit Robot-Human Communication

Oct 26, 2018
Yuhang Che, Allison M. Okamura, Dorsa Sadigh


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Hierarchical Game-Theoretic Planning for Autonomous Vehicles

Oct 13, 2018
Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan

* Submitted to ICRA 2019 

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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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Maximizing Road Capacity Using Cars that Influence People

Oct 09, 2018
Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani, Dorsa Sadigh

* This is the extended version of the paper accepted to IEEE Conference on Decision and Control (CDC) 2018 

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Multi-Agent Generative Adversarial Imitation Learning

Jul 26, 2018
Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon


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Towards Verified Artificial Intelligence

Oct 21, 2017
Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry


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Safe Control under Uncertainty

Oct 25, 2015
Dorsa Sadigh, Ashish Kapoor

* 10 pages, 6 figures, Submitted to HSCC 2016 

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