A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling
Author:
Affiliation:
1. Institute of Marine Science and Technology, Shandong University,Qingdao,China
2. Qingdao Cigarette Factory of China Tobacco Shandong Industrial Co.,Ltd.
Funder
Shandong Provincial Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10022049/10022014/10022122.pdf?arnumber=10022122
Reference29 articles.
1. Experimental evaluation of state-of-the-art heuristics for the resource-constrained project scheduling problem
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5. Project Scheduling under Limited Resources
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