Visible to the public Tradeoff-Focused Contrastive Explanation for MDP PlanningConflict Detection Enabled

TitleTradeoff-Focused Contrastive Explanation for MDP Planning
Publication TypeConference Paper
Year of Publication2020
AuthorsSukkerd, Roykrong, Simmons, Reid, Garlan, David
Conference NameProceedings of the 29th IEEE International Conference on Robot & Human Interactive Communication
Date Published08/2020
Conference LocationVirtual
Keywords2020: October, CMU, Model-Based Explanation For Human-in-the-Loop Security
Abstract

End-users' trust in automated agents is important as automated decision-making and planning is increasingly used in many aspects of people's lives. In real-world applications of planning, multiple optimization objectives are often involved. Thus, planning agents' decisions can involve complex tradeoffs among competing objectives. It can be difficult for the end-users to understand why an agent decides on a particular planning solution on the basis of its objective values. As a result, the users may not know whether the agent is making the right decisions, and may lack trust in it. In this work, we contribute an approach, based on contrastive explanation, that enables a multi-objective MDP planning agent to explain its decisions in a way that communicates its tradeoff rationale in terms of the domain-level concepts. We conduct a human subjects experiment to evaluate the effectiveness of our explanation approach in a mobile robot navigation domain. The results show that our approach significantly improves the users' understanding, and confidence in their understanding, of the tradeoff rationale of the planning agent.

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