Learning Interpretable Models for Black-Box Agents

29 Dec 2019Pulkit VermaSiddharth Srivastava

This paper develops a new approach for learning a STRIPS-like model of a non-stationary black-box autonomous agent that can plan and act. In this approach, the user may ask an autonomous agent a series of questions, which the agent answers truthfully... (read more)

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