Asking the Right Questions: Learning Interpretable Action Models Through Query Answering
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 minimal query interface with the agent, and a hierarchical querying algorithm that generates an interrogation policy for estimating the agent's internal model in a vocabulary provided by the user. Empirical evaluation of our approach shows that despite the intractable search space of possible agent models, our approach allows correct and scalable estimation of interpretable agent models for a wide class of black-box autonomous agents. Our results also show that this approach can use predicate classifiers to learn interpretable models of planning agents that represent states as images.
Code (1)
Similar Papers 제목 키워드 기반
Are You Asking the Right Questions? Teaching Machines to Ask Clarification Questions
A Feasibility Study of Answer-Unaware Question Generation for Education
We conduct a feasibility study into the applicability of answer-unaware question generation models to textbook passages. We show that a significant portion of errors in such systems arise from asking irrelevant or un-int…
Question GenerationQuestion-GenerationA Feasibility Study of Answer-Agnostic Question Generation for Education
We conduct a feasibility study into the applicability of answer-agnostic question generation models to textbook passages. We show that a significant portion of errors in such systems arise from asking irrelevant or unint…
Question GenerationQuestion-GenerationAsking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
Clarification questions are an essential dialogue tool to signal misunderstanding, ambiguities, and under-specification in language use. While humans are able to resolve uncertainty by asking questions since childhood, m…
Asking Complex Questions with Multi-hop Answer-focused Reasoning
Asking questions from natural language text has attracted increasing attention recently, and several schemes have been proposed with promising results by asking the right question words and copy relevant words from the i…
Question GenerationQuestion-Generation