Distal Explanations for Explainable Reinforcement Learning Agents

28 Jan 2020Prashan MadumalTim MillerLiz SonenbergFrank Vetere

Causal explanations present an intuitive way to understand the course of events through causal chains, and are widely accepted in cognitive science as the prominent model humans use for explanation. Importantly, causal models can generate opportunity chains, which take the form of `A enables B and B causes C'... (read more)

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