Mask-Attention A3C: Visual Explanation of Action–State Value in Deep Reinforcement Learning

Deep reinforcement learning (DRL) can learn an agent’s optimal behavior from the experience it gains through interacting with its environment. However, since the decision-making process of DRL agents is a black-box, it is difficult for users to understand the reasons for the agents’ ac...

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Bibliografiske detaljer

Principais autores:	Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Deep reinforcement learning explainable AI visual explanation video games robot manipulation
Online adgang:	https://ieeexplore.ieee.org/document/10560007/
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