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  • Search: subject:"proximal policy optimisation"
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Subject
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Theorie 3 Theory 3 proximal policy optimisation 3 reinforcement learning 2 Algorithm 1 Algorithmus 1 Capacitated lot sizing problem 1 Dynamic programming 1 Dynamic workshop scheduling 1 Dynamische Optimierung 1 Electric power industry 1 Electricity price 1 Elektrizitätswirtschaft 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1 Losgröße 1 Lot size 1 Markov chain 1 Markov decision process 1 Markov-Kette 1 Mathematical programming 1 Mathematische Optimierung 1 Production control 1 Produktionssteuerung 1 Scheduling problem 1 Scheduling-Verfahren 1 Spatial crowd sourcing 1 Strompreis 1 deep reinforcement learning 1 multi-item 1 multi-resource constrained scheduling 1 occasional drivers 1 shared electric micro-mobility 1 spatio-temporal pricing 1 stochastic demand 1
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Undetermined 2 Free 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3
Author
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Dellaert, Nico 1 Gademann, Noud 1 Hezewijk, Lotte van 1 Kim, Minjeong 1 Luo, Peng Cheng 1 Moon, Ilkyeong 1 Peng, Jie Yang 1 Van Woensel, Tom 1 Xiong, Huan Qian 1 Xiong, Zhao Feng 1 Zhang, Bo Wen 1
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Published in...
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International journal of production research 3
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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Using the proximal policy optimisation algorithm for solving the stochastic capacitated lot sizing problem
Hezewijk, Lotte van; Dellaert, Nico; Van Woensel, Tom; … - In: International journal of production research 61 (2023) 6, pp. 1955-1978
Persistent link: https://www.econbiz.de/10014230536
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Spatio-temporal task pricing for shared electric micro-mobility battery-swapping platform with reinforcement learning
Kim, Minjeong; Moon, Ilkyeong - In: International journal of production research 63 (2025) 4, pp. 1473-1494
Persistent link: https://www.econbiz.de/10015202282
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Multi-resource constrained dynamic workshop scheduling based on proximal policy optimisation
Luo, Peng Cheng; Xiong, Huan Qian; Zhang, Bo Wen; Peng, … - In: International journal of production research 60 (2022) 19, pp. 5937-5955
Persistent link: https://www.econbiz.de/10013500932
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