Mask-Attention A3C: Visual Explanation of Action–State Value in Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:86553-86571
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Itaya Hidenori¹^ORCID,Hirakawa Tsubasa²^ORCID,Yamashita Takayoshi²^ORCID,Fujiyoshi Hironobu³^ORCID,Sugiura Komei⁴^ORCID

Affiliation:

1. Department of Computer Science, Chubu University, Kasugai-shi, Aichi, Japan

2. Center for Mathematical Science and Artificial Intelligence, Chubu University, Kasugai-shi, Aichi, Japan

3. Department of Robotics, Chubu University, Kasugai-shi, Aichi, Japan

4. Department of Computer Science, Keio University, Yokohama, Kanagawa, Japan

Funder

New Energy and Industrial Technology Development Organization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10560007.pdf?arnumber=10560007

Reference48 articles.

1. A survey of deep reinforcement learning in video games;Shao;arXiv:1912.10944,2019

2. A Deep Reinforcement Learning Network for Traffic Light Cycle Control

3. Model-Based Reinforcement Learning Control of Electrohydraulic Position Servo Systems

4. Lithium-Ion Battery Prognostics through Reinforcement Learning Based on Entropy Measures

5. A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation

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