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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
AAAI Conference on Artificial Intelligence
2023
Extended Abstract: Graduate Student Descent Considered Harmful? A Proposal for Studying Overfitting in Reward Functions
Serena Booth,
W. Bradley Knox,
Julie Shah,
Scott Niekum,
Peter Stone,
Alessandro Allievi
Multidisciplinary Conference on Reinforcement Learning and Decision Making
2022
Spotlight, Extended Abstract: Partial Return Poorly Explains Human Preferences
W. Bradley Knox,
Stephane Hatgis-Kessell,
Serena Booth,
Scott Niekum,
Peter Stone,
Alessandro Allievi
Multidisciplinary Conference on Reinforcement Learning and Decision Making
2022
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning Theory
Serena Booth,
Sanjana Sharma,
Sarah Chung,
Julie Shah,
Elena L. Glassman
ACM/IEEE International Conference on Human-Robot Interaction (HRI)
2022
Do Feature Attribution Methods Correctly Attribute Features?
AAAI Conference on Artificial Intelligence
2022
Bayes-TrEx: A Bayesian Sampling Approach to Model Transparency by Example
AAAI Conference on Artificial Intelligence
2021
RoCUS: Robot Controller Understanding via Sampling
Conference on Robot Learning (CoRL)
2021
Machine Learning Practice Outside Big Tech: How Resource Constraints Challenge Responsible Development
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES)
2021
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively
International Joint Conference on AI (IJCAI)
2019
Piggybacking Robots: Human-robot Overtrust in University Dormitory Security
Serena Booth,
James Tompkin,
Hanspeter Pfister,
Jim Waldo,
Krzysztof Gajos,
Radhika Nagpal
ACM/IEEE International Conference on Human-Robot Interaction (HRI)
2017
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Learning Optimal Advantage from Preferences and Mistaking it for Reward
W. Bradley Knox,
Stephane Hatgis-Kessell,
Sigurdur Orn Adalgeirsson,
Serena Booth,
Anca Dragan,
Peter Stone,
Scott Niekum
2023 ICML Workshop on The Many Facets of Preference-based Learning (MFPL)
2023
Varying How We Teach: Adding Contrast Helps Humans Learn about Robot Motions
2023 HRI Workshop on Human-Interactive Robot Learning
2023
The Irrationality of Neural Rationale Models
2022 NAACL Workshop on Trustworthy Natural Language Processing (TrustNLP)
2022
Do Feature Attribution Methods Correctly Attribute Features?
NeurIPS 2021 XAI4Debugging Workshop
2021
How to Understand Your Robot: A Design Space Informed by Human Concept Learning
Serena Booth,
Sanjana Sharma,
Sarah Chung,
Julie Shah,
Elena Glassman
ICRA 2021 Workshop on Social Intelligence in Humans and Robots (SIHR)
2021
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach
AAAI 2020 Workshop on Statistical Relational Artificial Intelligence (StarAI)
2020
Modeling Blackbox Agent Behaviour via Knowledge Compilation
Christian Muise,
Salomon Wollenstein Betech,
Serena Booth,
Julie Shah,
Yasaman Khazaeni
AAAI 2020 Workshop on Plan, Activity, and Intent Recognition (PAIR)
2020