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most citedIdentifying Reasoning Flaws in Planning-Based RL Using Tree Explanations

4 citations · 9 across the 3 of their papers we have counts for

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cs.HC2019

Explaining Reinforcement Learning to Mere Mortals: An Empirical Study

Andrew Anderson, Jonathan Dodge, Amrita Sadarangani +6

We present a user study to investigate the impact of explanations on non-experts' understanding of reinforcement learning (RL) agents. We investigate both a common RL visualization…