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Deep reinforcement learning for inventory control : a roadmap
Boute, Robert N.; Gijsbrechts, Joren; Jaarsveld, Willem van - In: European journal of operational research : EJOR 298 (2022) 2, pp. 401-412
Persistent link: https://www.econbiz.de/10013206863
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A maximum-margin multisphere approach for binary Multiple Instance Learning
Astorino, Annabella; Avolio, Matteo; Fuduli, Antonio - In: European journal of operational research : EJOR 299 (2022) 2, pp. 642-652
Persistent link: https://www.econbiz.de/10013207153
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Voting : a machine learning approach
Burka, Dávid; Puppe, Clemens; Szepesváry, László; … - In: European journal of operational research : EJOR 299 (2022) 3, pp. 1003-1017
Persistent link: https://www.econbiz.de/10013207217
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Optimization problems for machine learning : a survey
Gambella, Claudio; Ghaddar, Bissan; Naoum-Sawaya, Joe - In: European journal of operational research : EJOR 290 (2021) 3, pp. 807-828
Persistent link: https://www.econbiz.de/10012495225
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Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response
Lee, Hyun-Rok; Lee, Taesik - In: European journal of operational research : EJOR 291 (2021) 1, pp. 296-308
Persistent link: https://www.econbiz.de/10012495307
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Deep learning with long short-term memory networks for financial market predictions
Fischer, Thomas; Krauss, Christopher - In: European journal of operational research : EJOR 270 (2018) 2, pp. 654-669
Persistent link: https://www.econbiz.de/10011869420
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Dynamic order allocation in a duopoly hybrid workforce of competition : a machine learning approach
Wang, Xinyu; Zhang, Yuxing; Zhang, Shuhua - In: European journal of operational research : EJOR 315 (2024) 2, pp. 668-690
Persistent link: https://www.econbiz.de/10014565258
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Learning equilibrium in bilateral bargaining games
Bichler, Martin; Kohring, Nils; Oberlechner, Matthias; … - In: European journal of operational research : EJOR 311 (2023) 2, pp. 660-678
Persistent link: https://www.econbiz.de/10014336740
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An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents
Monaci, Marta; Agasucci, Valerio; Grani, Giorgio - In: European journal of operational research : EJOR 312 (2024) 3, pp. 910-926
Persistent link: https://www.econbiz.de/10014456446
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Optimization with constraint learning : a framework and survey
Fajemisin, Adejuyigbe O.; Maragno, Donato; Hertog, Dirk den - In: European journal of operational research : EJOR 314 (2024) 1, pp. 1-14
Persistent link: https://www.econbiz.de/10014456821