HIERARCHICAL REINFORCEMENT LEARNING SCHEDULE FOR RE-ENTRANT MANUFACTURING SYSTEM
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Graphical Abstract
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Abstract
In this paper,a hierarchical reinforcement learning algorithm is investigated for Markov Decision Process with average reward.And it is applied to a close re entrant manufacturing system composed of two machines.Computer simulation demonstrates that the algorithm outperforms two well known heuristic scheduling policies.
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