Online Library TheLib.net » Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling
cover of the book Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

Ebook: Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

Author: Schirin Bär

00
14.02.2024
0
0
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.
Download the book Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling for free or read online
Read Download
Continue reading on any device:
QR code
Last viewed books
Related books
Comments (0)
reload, if the code cannot be seen