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Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints
PaperCitations, authors & open-access status
Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 21 citations, 2021 year and closed oa status.
21
Citations
2021
Year
closed
OA Status
Related on ScholarIQ
William Motsch
Author
2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Journal
Scheduling and Optimization Algorithms
Topic
Scheduling and Optimization Algorithms
Topic
Advanced Manufacturing and Logistics Optimization
Topic
Assembly Line Balancing Optimization
Topic