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1 Ergebnisse
1
Deep Reinforcement Learning Techniques For Solving Hybrid F..:
Nahhas, Abdulrahman
;
Kharitonov, Andrey
;
Turowski, Klaus
Proceedings of the 55th Hawaii International Conference on System Sciences. , 2022
Link:
http://hdl.handle.net/10125/79538
RT Journal T1 <Title>Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C)</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivhawaiimano:oai:scholarspace.manoa.hawaii.edu:10125_79538&Exemplar=1&LAN=DE A1 Nahhas, Abdulrahman A1 Kharitonov, Andrey A1 Turowski, Klaus YR 2022 K1 Intelligent Decision Support for Logistics and Supply Chain Management K1 asynchronous advantage actor-critic (a3c) K1 deep reinforcement learning K1 hybrid flow shop scheduling K1 proximal policy optimization (ppo) K1 simulation JF Proceedings of the 55th Hawaii International Conference on System Sciences LK http://hdl.handle.net/10125/79538 DO http://hdl.handle.net/10125/79538 SF ELIB - SuUB Bremen
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