Application of Deep Reinforcement Learning to NS-SHAFT Game Signal Control.

Chang, Ching-Lung; Chen, Shuo-Tsung; Lin, Po-Yu; Chang, Chuan-Yu

Chang, Ching-Lung; Chen, Shuo-Tsung; Lin, Po-Yu; Chang, Chuan-Yu.

Afiliación

Chang CL; Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Douliu 640301, Taiwan.
Chen ST; Intelligence Recognition Industry Service Research Center (IR-IS Research Center), National Yunlin University of Science and Technology, Douliu 640301, Taiwan.
Lin PY; Department of Applied Mathematics, Tunghai University, Taichung 40704, Taiwan.
Chang CY; Department of Industrial and Business Management, Chang Gung University, Taoyuan 333, Taiwan.

Sensors (Basel) ; 22(14)2022 Jul 14.

Article en En | MEDLINE | ID: mdl-35890943

Asunto(s)

Redes Neurales de la Computación; Refuerzo en Psicología; Humanos; Recompensa

Palabras clave

Deep Q-Network (DQN); NS-SHAFT; deep learning; game; real-time; reinforcement learning (RL)

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Refuerzo en Psicología / Redes Neurales de la Computación Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Taiwán

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