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  • Search: subject:"Multi-agent deep reinforcement learning"
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Year of publication
Subject
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Agent-based modeling 4 Agentenbasierte Modellierung 4 Learning 3 Learning process 3 Lernen 3 Lernprozess 3 Theorie 3 Theory 3 multi-agent deep reinforcement learning 3 Algorithm 2 Algorithmus 2 Lieferkette 2 Supply chain 2 Tourenplanung 2 Vehicle routing problem 2 Artificial intelligence 1 Bestandsmanagement 1 Bullwhip Effect 1 Bullwhip effect 1 Bullwhip-Effekt 1 Fahrzeugflotte 1 Flexible assembly 1 Game theory 1 Inventory management 1 Inventory model 1 Künstliche Intelligenz 1 Lagerhaltungsmodell 1 Lagermanagement 1 Layout optimization 1 Mobile resources 1 Multi-Agent Deep Reinforcement Learning 1 Multi-Echelon Inventory Management 1 Multi-agent deep reinforcement learning 1 Neural networks 1 Neuronale Netze 1 Production control 1 Production scheduling 1 Proximal policy optimization 1 Social Web 1 Social network 1
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Online availability
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Free 4 Undetermined 1
Type of publication
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Article 3 Book / Working Paper 2
Type of publication (narrower categories)
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Arbeitspapier 2 Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Article 1
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Language
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English 5
Author
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Arishi, Ali 1 Aymanns, Christoph 1 Chen, Nan 1 Foerster, Jakob 1 Georg, Co-Pierre 1 Göppert, Amon 1 Hu, Ming 1 Huke, Philipp 1 Kaven, Lea 1 Krishnan, Krishna K. 1 Liu, Xiaotian 1 Liu, Yang 1 Peng, Yijie 1 Schmitt, Robert H. 1 Xie, Jiaohong 1 Yang, Yaodong 1
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Published in...
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Journal of Intelligent Manufacturing 1 Journal of management analytics 1 Rotman School of Management Working Paper 1 Transportation science 1 University of St.Gallen, School of Finance Research Paper 1 Working papers on finance 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
Cover Image
Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems
Kaven, Lea; Huke, Philipp; Göppert, Amon; Schmitt, … - In: Journal of Intelligent Manufacturing 35 (2024) 8, pp. 3917-3936
scheduling in line-less mobile assembly systems. The proposed multi agent deep reinforcement learning algorithm uses proximal …
Persistent link: https://www.econbiz.de/10015371298
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Two-sided deep reinforcement learning for dynamic mobility-on-demand management with mixed autonomy
Xie, Jiaohong; Liu, Yang; Chen, Nan - In: Transportation science 57 (2023) 4, pp. 1019-1046
Persistent link: https://www.econbiz.de/10014329977
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Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management
Liu, Xiaotian; Hu, Ming; Peng, Yijie; Yang, Yaodong - 2022
We apply Multi-Agent Deep Reinforcement Learning (MADRL) to inventory management problems with multiple echelons and …
Persistent link: https://www.econbiz.de/10014237002
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A multi-agent deep reinforcement learning approach for solving the multi-depot vehicle routing problem
Arishi, Ali; Krishnan, Krishna K. - In: Journal of management analytics 10 (2023) 3, pp. 493-515
Persistent link: https://www.econbiz.de/10014330649
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Cover Image
Fake news in social networks
Aymanns, Christoph; Foerster, Jakob; Georg, Co-Pierre - 2017 - This draft: August 21, 2017
neighbors' past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and …
Persistent link: https://www.econbiz.de/10011906248
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