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Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints
We propose a novel non-randomized anytime orienteering algorithm for fin...
11/02/2020 ∙ by Abhinav Sharma, et al. ∙
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Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors
Convolutional neural network (CNN) models for computer vision are powerf...
06/27/2020 ∙ by Ruihan Zhang, et al. ∙
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Distal Explanations for Explainable Reinforcement Learning Agents
Causal explanations present an intuitive way to understand the course of...
01/28/2020 ∙ by Prashan Madumal, et al. ∙
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Explainable Reinforcement Learning Through a Causal Lens
Prevalent theories in cognitive science propose that humans understand a...
05/27/2019 ∙ by Prashan Madumal, et al. ∙
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A Grounded Interaction Protocol for Explainable Artificial Intelligence
Explainable Artificial Intelligence (XAI) systems need to include an exp...
03/05/2019 ∙ by Prashan Madumal, et al. ∙
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Interaction Design for Explainable AI: Workshop Proceedings
As artificial intelligence (AI) systems become increasingly complex and ...
12/13/2018 ∙ by Prashan Madumal, et al. ∙
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Towards a Grounded Dialog Model for Explainable Artificial Intelligence
To generate trust with their users, Explainable Artificial Intelligence ...
06/21/2018 ∙ by Prashan Madumal, et al. ∙
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