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Sequential Explanations with Mental Model-Based Policies
[article]
2020
arXiv
pre-print
The act of explaining across two parties is a feedback loop, where one provides information on what needs to be explained and the other provides an explanation relevant to this information. We apply a reinforcement learning framework which emulates this format by providing explanations based on the explainee's current mental model. We conduct novel online human experiments where explanations generated by various explanation methods are selected and presented to participants, using policies
arXiv:2007.09028v1
fatcat:vnb6xobu7zfibhym67tqrp2sba