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11/14/2022
(When) Are Contrastive Explanations of Reinforcement Learning Helpful?
Global explanations of a reinforcement learning (RL) agent's expected be...
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06/24/2021
Promises and Pitfalls of Black-Box Concept Learning Models
Machine learning models that incorporate concept learning as an intermed...
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12/04/2020
Learning Interpretable Concept-Based Models with Human Feedback
Machine learning models that first learn a representation of a domain in...
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11/12/2020
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
As machine learning (ML) models are increasingly being employed to assis...
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05/30/2019
Exploring Computational User Models for Agent Policy Summarization
AI agents are being developed to support high stakes decision-making pro...
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01/31/2019
An Evaluation of the Human-Interpretability of Explanation
Recent years have seen a boom in interest in machine learning systems th...
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05/31/2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Much attention has been devoted recently to the development of machine l...
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05/29/2018