Search Results for author: Charlotte Young

Found 2 papers, 0 papers with code

Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios

no code implementations7 Jul 2022 Francisco Cruz, Charlotte Young, Richard Dazeley, Peter Vamplew

In this work, we make use of human-like explanations built from the probability of success to complete the goal that an autonomous robot shows after performing an action.

counterfactual Decision Making +3

Levels of explainable artificial intelligence for human-aligned conversational explanations

no code implementations7 Jul 2021 Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz

Over the last few years there has been rapid research growth into eXplainable Artificial Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML).

Decision Making Explainable artificial intelligence +2

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