Explainability in Deep Reinforcement Learning

15 Aug 2020Alexandre HeuilletFabien CouthouisNatalia Díaz-Rodríguez

A large set of the explainable Artificial Intelligence (XAI) literature is emerging on feature relevance techniques to explain a deep neural network (DNN) output or explaining models that ingest image source data. However, assessing how XAI techniques can help understand models beyond classification tasks, e.g. for reinforcement learning (RL), has not been extensively studied... (read more)

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