4 citations · 6 across the 4 of their papers we have counts for
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cs.AI2021★ 2 cited
Discovering User-Interpretable Capabilities of Black-Box Planning Agents
Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava
Several approaches have been developed for answering users' specific questions about AI behavior and for assessing their core functionality in terms of primitive executable actions…
cs.AI2020★ 4 cited
Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming
Mehrdad Zakershahrak, Shashank Rao Marpally, Akshay Sharma +2
Prior work on generating explanations in a planning and decision-making context has focused on providing the rationale behind an AI agent's decision making. While these methods pro…