Toward Robust Policy Summarization

adaptive agents and multi-agents systems, pp. 2081-2083, 2019.

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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

AI agents are being developed to help people with high stakes decision-making processes from driving cars to prescribing drugs. It is therefore becoming increasingly important to develop "explainable AI" methods that help people understand the behavior of such agents. Summaries of agent policies can help human users anticipate agent behav...More

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