An efficient and adaptive design of reinforcement learning environment to solve job shop scheduling problem with soft actor-critic algorithm
Author:
Affiliation:
1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, People's Republic of China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2335663
Reference49 articles.
1. A state-of-the-art survey of dispatching rules for manufacturing job shop operations
2. A distributed approach solving partially flexible job-shop scheduling problem with a Q-learning effect
3. Brockman Greg Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. “OpenAI Gym.” Preprint arXiv:1606.01540.
4. A Deep Reinforcement Learning Framework Based on an Attention Mechanism and Disjunctive Graph Embedding for the Job-Shop Scheduling Problem
5. Benchmarks for shop scheduling problems
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