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Deep Reinforcement Learning in Inventory Management

Geevers, Kevin (2020) Deep Reinforcement Learning in Inventory Management.

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Abstract:This thesis is written at ORTEC in order to develop a deep reinforcement learning method that can solve various inventory problems. With this method, we solved three inventory problems better than its benchmarks. However, when the problems get larger, the method turns out to be unstable in its results.
Item Type:Essay (Master)
Clients:
ORTEC, Zoetermeer, Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:54 computer science
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:https://purl.utwente.nl/essays/85432
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