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Amaitik, N.
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Dynamic Scheduling Method for Job-Shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization
by
Amaitik
,
N
.
,
Hu, Y.
,
Lu, Y.
,
Xu, Y.
,
Zhang, M.
Published 2022
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Related Subjects
Artificial neural networks
Deep reinforcement learning
Dynamic scheduling
Industry 4.0
Manufacturing sustainability
artificial neural network
decision making
learning
manufacturing
optimization
policy approach
sustainability
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