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Isaac Lage

(When) Are Contrastive Explanations of Reinforcement Learning Helpful?

Nov 14, 2022
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Promises and Pitfalls of Black-Box Concept Learning Models

Jun 24, 2021
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Learning Interpretable Concept-Based Models with Human Feedback

Dec 04, 2020
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When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

Nov 13, 2020
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Exploring Computational User Models for Agent Policy Summarization

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May 30, 2019
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An Evaluation of the Human-Interpretability of Explanation

Jan 31, 2019
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Human-in-the-Loop Interpretability Prior

Oct 30, 2018
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Evaluating Reinforcement Learning Algorithms in Observational Health Settings

May 31, 2018
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