Search Results - subject:"Reinforcement Learning"

Autonomous exploration through deep reinforcement learning

Yan, Xiangda; Huang, Jie; He, Keyan; Hong, Huajie; Xu, … - In: Industrial Robot: the international journal of robotics … 50 (2023) 5, pp. 793-803

information obtained is increased. In addition, a decision-making module based on reinforcement learning method is proposed, which …

Persistent link: https://www.econbiz.de/10014836124

Reinforcement learning for non-stationary discrete-time linear–quadratic mean-field games in multiple populations

Zaman, Muhammad Aneeq uz; Miehling, Erik; Başar, Tamer - In: Dynamic games and applications : DGA 13 (2023) 1, pp. 118-164

Persistent link: https://www.econbiz.de/10014225778

Provably efficient reinforcement learning in decentralized general-sum markov games

Mao, Weichao; Başar, Tamer - In: Dynamic games and applications : DGA 13 (2023) 1, pp. 165-186

Persistent link: https://www.econbiz.de/10014225780

Anti-conflict AGV path planning in automated container terminals based on multi-agent reinforcement learning

Hu, Hongtao; Yang, Xurui; Xiao, Shichang; Wang, Feiyang - In: International journal of production research 61 (2023) 1, pp. 65-80

Persistent link: https://www.econbiz.de/10013530846

Policies for the dynamic traveling maintainer problem with alerts

Costa, Paulo da; Verleijsdonk, Peter; Voorberg, Simon; … - In: European journal of operational research : EJOR 305 (2023) 3, pp. 1141-1152

Persistent link: https://www.econbiz.de/10013492827

Effectuation entwickeln : Ein auf Reinforcement Learning aufbauender agentenbasierter Modellierungsbeitrag zur Formalisierung unternehmerischen Verhaltens

Sterzel, Martin - 2023

1 Einleitung -- 2 Aspekte entscheidungstheoretischer Grundlagen im Rahmen von Effectuation -- 3 Evaluierung bestehender Modellierungs- und Simulationsansätze im Kontext von Effectuation -- 4 Forschungsmethodik -- 5 Ergebnisse des Lernprozesses -- 6 Zusammenfassung und Ausblick.

Persistent link: https://www.econbiz.de/10013518297

Solving non-permutation flow-shop scheduling problem via a novel deep reinforcement learning approach

Wang, Zhenyu; Cai, Bin; Li, Jun; Yang, Deheng; Zhao, Yang; … - In: Computers & operations research : and their … 151 (2023), pp. 1-13

Persistent link: https://www.econbiz.de/10014234830

An artificial intelligence approach to forecasting when there are structural breaks : a reinforcement learning-based framework for fast switching

Marcondes Pinto, Jeronymo; Marçal, Emerson Fernandes - In: Empirical economics : a quarterly journal of the … 65 (2023) 4, pp. 1729-1759

Persistent link: https://www.econbiz.de/10014388850

Artificial intelligence : can seemingly collusive outcomes be avoided?

Abada, Ibrahim; Lambin, Xavier - In: Management science : journal of the Institute for … 69 (2023) 9, pp. 5042-5065

Persistent link: https://www.econbiz.de/10014392888

Deep reinforcement learning for sequential targeting

Wang, Wen; Li, Beibei; Luo, Xueming; Wang, Xiaoyi - In: Management science : journal of the Institute for … 69 (2023) 9, pp. 5439-5460

Persistent link: https://www.econbiz.de/10014392933