Deep reinforcement learning-based framework for constrained any-objective optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-023-04630-9.pdf
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4. Campos Ciro G, Dugardin F, Yalaoui F, Kelly R (2016) A NSGA-II and NSGA-III comparison for solving an open shop scheduling problem with resource constraints. IFAC-PapersOnLine 49:1272–1277. https://doi.org/10.1016/J.IFACOL.2016.07.690
5. Chen X, Ghadirzadeh A, Bjorkman M, Jensfelt P (2019) Meta-Learning for Multi-objective Reinforcement Learning. IEEE International Conference on Intelligent Robots and Systems 977–983. https://doi.org/10.1109/IROS40897.2019.8968092
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