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Generic Multiagent Reinforcement Learning Approach For Flexible Jobshop Scheduling Schirin Br

  • SKU: BELL-46461776
Generic Multiagent Reinforcement Learning Approach For Flexible Jobshop Scheduling Schirin Br
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Generic Multiagent Reinforcement Learning Approach For Flexible Jobshop Scheduling Schirin Br instant download after payment.

Publisher: Springer Vieweg
File Extension: PDF
File size: 3.04 MB
Pages: 162
Author: Schirin Bär
ISBN: 9783658391782, 3658391782
Language: English
Year: 2022

Product desciption

Generic Multiagent Reinforcement Learning Approach For Flexible Jobshop Scheduling Schirin Br by Schirin Bär 9783658391782, 3658391782 instant download after payment.

The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.

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