Serena Booth

32 papers A* 11C 1Misc 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Human-Interactive Robot Learning: Definition, Challenges, and Recommendations.
ACM Trans. Hum. Robot Interact.
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
2026 A* conf
Should Robots Comply with Our Instructions or Intentions?
HRI
Tiffany Horter, Andrew Markham, Niki Trigoni, Serena Booth
2025 A* conf
AI Governance and Lessons Learned as an AI Policy Advisor in the United States Senate.
AAAI
Serena Booth
2025 A* conf
Goals vs. Rewards: Towards a Comparative Study of Objective Specification Mechanisms.
HRI
Septia Rani, Serena Booth, Sarath Sreedharan
2025 J jnl
Influencing Humans to Conform to Preference Models for RLHF.
CoRR
Stephane Hatgis-Kessell, W. Bradley Knox, Serena Booth, Scott Niekum, Peter Stone
2025 — conf
Position: Strong Consumer Protection is an Inalienable Defense for AI Safety in the United States.
ICML (Position Papers)
Serena Booth
2025 J jnl
Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners.
CoRR
Calarina Muslimani, Kerrick Johnstonbaugh, Suyog Chandramouli, Serena Booth, W. Bradley Knox, Matthew E. Taylor
2024 — —
Building Blocks for Human-AI Alignment: Specify, Inspect, Model, and Revise
Serena Booth
2024 A* conf
Learning Optimal Advantage from Preferences and Mistaking It for Reward.
AAAI
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
2024 J jnl
Models of human preference for learning reward functions.
Trans. Mach. Learn. Res.
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Gabriele Allievi
2024 A* conf
Quality-Diversity Generative Sampling for Learning with Synthetic Data.
AAAI
Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis
2023 — conf
Aligning Robot Behaviors with Human Intents by Exposing Learned Behaviors and Resolving Misspecifications.
HRI (Companion)
Serena Booth
2023 J jnl
Learning Optimal Advantage from Preferences and Mistaking it for Reward.
CoRR
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
2023 J jnl
Quality-Diversity Generative Sampling for Learning with Synthetic Data.
CoRR
Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis
2023 A* conf
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.
AAAI
Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi
2023 — conf
Variable Autonomy for Human-Robot Teaming (VAT).
HRI (Companion)
Manolis Chiou, Serena Booth, Bruno Lacerda, Andreas Theodorou, Simon Rothfuß
2022 A* conf
Do Feature Attribution Methods Correctly Attribute Features?
AAAI
Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
2022 J jnl
Models of human preference for learning reward functions.
CoRR
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Allievi
2022 A* conf
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning.
HRI
Serena Booth, Sanjana Sharma, Sarah Chung, Julie Shah, Elena L. Glassman
2021 A* conf
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example.
AAAI
Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah
2021 J jnl
Do Feature Attribution Methods Correctly Attribute Features?
CoRR
Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
2021 J jnl
IEEE P7001: A Proposed Standard on Transparency.
Frontiers Robotics AI
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
2021 C conf
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development.
AIES
Aspen K. Hopkins, Serena Booth
2021 J jnl
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development.
CoRR
Aspen K. Hopkins, Serena Booth
2021 Misc conf
RoCUS: Robot Controller Understanding via Sampling.
CoRL
Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
2021 J jnl
The Irrationality of Neural Rationale Models.
CoRR
Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou
2020 J jnl
Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets.
CoRR
Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah
2020 J jnl
RoCUS: Robot Controller Understanding via Sampling.
CoRR
Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
2020 J jnl
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach.
CoRR
Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah
2020 — conf
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI).
HRI (Companion)
Tom Williams, Daniel Szafir, Tathagata Chakraborti, Soh-Khim Ong, Eric Rosen, Serena Booth, Thomas R. Groechel
2019 A* conf
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively.
IJCAI
Serena Booth, Christian Muise, Julie Shah
2017 A* conf
Piggybacking Robots: Human-Robot Overtrust in University Dormitory Security.
HRI
Serena Booth, James Tompkin, Hanspeter Pfister, Jim Waldo, Krzysztof Gajos, Radhika Nagpal