A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs
This paper focuses on a sub-domain of XAI, called eXplainable Reinforcement Learning (XRL), which aims to explain the actions of an agent that has learned by reinforcement learning, and proposes an intuitive taxonomy based on two questions, based on the target that the method explains.
Léo Saulières
· arXiv.org · 8 citations
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