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Shashank Rao Marpally

2 accepted papers

2021

Asking the Right Questions: Learning Interpretable Action Models Through Query Answering

AAAI 2021technical

This paper develops a new approach for estimating an interpretable, relational model of a black-box autonomous agent that can plan and act. Our main contributions are a new paradigm for estimating such models using a rudimentary query interface with the agent and a hierarchical querying algorithm th…

2021

Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming

ICRA 2021poster

Prior work on generating explanations in a planning context has focused on providing the rationale behind an AI agent’s decision-making. While these methods offer the right explanations, they fail to heed the cognitive requirement of understanding an explanation from the explainee or human’s perspec…

Cited by 15SourceScholar