Search Results - subject:"REINFORCEMENT LEARNING"

Self-learning agents for recommerce markets

Groeneveld, Jan; Herrmann, Judith; Mollenhauer, Nikkel; … - In: Business & information systems engineering 66 (2024) 4, pp. 441-463

Persistent link: https://www.econbiz.de/10015073508

On algorithmic collusion and reward-punishment schemes

Epivent, Andréa; Lambin, Xavier - In: Economics letters 237 (2024), pp. 1-4

Persistent link: https://www.econbiz.de/10015074469

Container port truck dispatching optimization using Real2Sim based deep reinforcement learning

Jin, Jiahuan; Cui, Tianxiang; Bai, Ruibin; Qu, Rong - In: European journal of operational research : EJOR 315 (2024) 1, pp. 161-175

Persistent link: https://www.econbiz.de/10014562810

Online reinforcement learning for condition-based group maintenance using factored Markov decision processes

Xu, Jianyu; Liu, Bin; Zhao, Xiujie; Wang, Xiao-Lin - In: European journal of operational research : EJOR 315 (2024) 1, pp. 176-190

Persistent link: https://www.econbiz.de/10014562817

Accelerating value function approximations for dynamic dial-a-ride problems via dimensionality reductions

Heitmann, Reinhold-Julius Otto; Soeffker, Ninja; … - In: Computers & operations research : an international journal 167 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10014566086

Artificial intelligence-powered energy community management for developing renewable energy systems in smart homes

Binyamin, Sami Saeed; Ben Slama, Sami; Zafar, Bassam - In: Energy strategy reviews 51 (2024), pp. 1-19

The increase in demand due to scientific innovation and economic expansion raises challenges linked to environmental impact and sustainable market development. This study analyzes the role played by Peer-to-Peer (P2P) energy trading in system operation. Several case studies with four distinct...

Persistent link: https://www.econbiz.de/10014576783

A novel feature selection method with transition similarity measure using reinforcement learning

Bouchlaghem, Younes; Akhiat, Yassine; Touchanti, Kaouthar; … - In: Decision analytics journal 11 (2024), pp. 1-11

the best-performing feature subset. This paper proposes a new feedback feature selection system with a reinforcement … learning-based method to identify the best feature subset. The proposed system mainly includes three parts. First, decision …

Persistent link: https://www.econbiz.de/10015107888

Collusion by mistake : does algorithmic sophistication drive supra-competitive profits?

Abada, Ibrahim; Lambin, Xavier; Tchakarov, Nikolay - In: European journal of operational research : EJOR 318 (2024) 3, pp. 927-953

Persistent link: https://www.econbiz.de/10015048200

Learning to guide local search optimisation for routing problems

Sultana, Nasrin; Chan, Jeffrey; Abbasi, Babak; Sarwar, … - In: Operations research letters : a journal of INFORMS … 55 (2024), pp. 1-8

Persistent link: https://www.econbiz.de/10015049739

A reinforcement learning approach for dynamic rebalancing in bike-sharing systems

Liang, Jiaqi; Jena, Sanjay Dominik; Liu, Defeng; Lodi, … - 2024

Persistent link: https://www.econbiz.de/10014483081