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A deep reinforcement learning system for the allocation of epidemic prevention materials based on DDPG
Kotcharat Kitchat
, Meng Hong Lin
, Hao Sheng Chen
,
Min Te Sun
, Kazuya Sakai
, Wei Shinn Ku
, Thattapon Surasak
資訊工程學系
研究成果
:
雜誌貢獻
›
期刊論文
›
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13
引文 斯高帕斯（Scopus）
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Keyphrases
Material-based
100%
Deep Reinforcement Learning (deep RL)
100%
Reinforcement Learning System
100%
Deep Deterministic Policy Gradient
100%
Epidemic Prevention Materials
100%
Medical Grade
100%
COVID-19
66%
Taiwan
33%
Selling
33%
Supply Chain
33%
Machine Learning Approach
33%
Pharmacy
33%
People Movement
33%
Robust System
33%
Traditional Machine Learning
33%
Demand Forecasting
33%
Fixed Price
33%
Deep Deterministic Policy Gradient Algorithm
33%
Reinforcement Learning Framework
33%
Medical Supplies
33%
Computer Science
Supply Chain
100%
Learning Framework
100%
Reinforcement Learning
100%
Machine Learning Approach
100%
Deep Reinforcement Learning
100%
Learning System
100%
Engineering
Reinforcement Learning
100%
Learning System
100%
Early Stage
50%
Learning Approach
50%
Demand Forecasting
50%
Social Sciences
COVID-19
100%
Supply Chain Management
50%
Price
50%
Chemical Engineering
Learning System
100%
Reinforcement Learning
100%