Serena Booth

According to our database, Serena Booth authored at least 26 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Human-Interactive Robot Learning: Definition, Challenges, and Recommendations.

Kim Baraka, Ifrah Idrees, Taylor Kessler Faulkner, Erdem Biyik, Serena Booth, Mohamed Chetouani, Daniel H. Grollman, Akanksha Saran, Emmanuel Senft, Silvia Tulli, Anna-Lisa Vollmer, Antonio Andriella, Helen Beierling, Tiffany Horter, Jens Kober, Isaac S. Sheidlower, Matthew E. Taylor, Sanne van Waveren, Xuesu Xiao

ACM Trans. Hum. Robot Interact., March, 2026

Should Robots Comply with Our Instructions or Intentions?

Tiffany Horter, Andrew Markham, Niki Trigoni, Serena Booth

Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

2025

Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners.

Calarina Muslimani, Kerrick Johnstonbaugh, Suyog Chandramouli, Serena Booth, W. Bradley Knox, Matthew E. Taylor

CoRR, March, 2025

Influencing Humans to Conform to Preference Models for RLHF.

Stephane Hatgis-Kessell, W. Bradley Knox, Serena Booth, Scott Niekum, Peter Stone

CoRR, January, 2025

Position: Strong Consumer Protection is an Inalienable Defense for AI Safety in the United States.

Serena Booth

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Goals vs. Rewards: Towards a Comparative Study of Objective Specification Mechanisms.

Septia Rani, Serena Booth, Sarath Sreedharan

Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

AI Governance and Lessons Learned as an AI Policy Advisor in the United States Senate.

Serena Booth

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Building Blocks for Human-AI Alignment: Specify, Inspect, Model, and Revise

Serena Booth

PhD thesis, 2024

Models of human preference for learning reward functions.

W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Gabriele Allievi

Trans. Mach. Learn. Res., 2024

Learning Optimal Advantage from Preferences and Mistaking It for Reward.

W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Quality-Diversity Generative Sampling for Learning with Synthetic Data.

Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Variable Autonomy for Human-Robot Teaming (VAT).

Manolis Chiou, Serena Booth, Bruno Lacerda, Andreas Theodorou, Simon Rothfuß

Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Aligning Robot Behaviors with Human Intents by Exposing Learned Behaviors and Resolving Misspecifications.

Serena Booth

Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.

Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning.

Serena Booth, Sanjana Sharma, Sarah Chung, Julie Shah, Elena L. Glassman

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Do Feature Attribution Methods Correctly Attribute Features?

Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

IEEE P7001: A Proposed Standard on Transparency.

Alan F. T. Winfield, Serena Booth, Louise A. Dennis, Takashi Egawa, Helen F. Hastie, Naomi Jacobs, Roderick I. Muttram, Joanna I. Olszewska, Fahimeh Rajabiyazdi, Andreas Theodorou, Mark A. Underwood, Robert H. Wortham, Eleanor 'Nell' Watson

Frontiers Robotics AI, 2021

The Irrationality of Neural Rationale Models.

Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou

CoRR, 2021

RoCUS: Robot Controller Understanding via Sampling.

Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development.

Aspen K. Hopkins, Serena Booth

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example.

Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets.

Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah

CoRR, 2020

Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach.

Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah

CoRR, 2020

Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI).

Tom Williams, Daniel Szafir, Tathagata Chakraborti, Soh-Khim Ong, Eric Rosen, Serena Booth, Thomas R. Groechel

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

2019

Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively.

Serena Booth, Christian Muise, Julie Shah

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017

Piggybacking Robots: Human-Robot Overtrust in University Dormitory Security.

Serena Booth, James Tompkin, Hanspeter Pfister, Jim Waldo, Krzysztof Gajos, Radhika Nagpal

Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017