Reinforcement learning for business modeling.

Oliveira, Fernando S.

Abstract

This chapter summarizes the reinforcement learning theory, emphasizing its relationship with dynamic programming (reinforcement learning algorithms may replace dynamic programming when a full model of the environment is not available) and analysing its limitations as a tool for modelling human and organizational behaviour.

Citation

OLIVEIRA, F.S. 2014. Reinforcement learning for business modeling. In Wang, J. (ed.) Encyclopedia of business analytics and optimization. Hershey: IGI Global [online], chapter 181, pages 2010-2019. Available from: https://doi.org/10.4018/978-1-4666-5202-6.ch181

• Online Publication Date: Feb 28, 2014
• Publication Date: Feb 28, 2014
• Deposit Date: Nov 21, 2023
• Publicly Available Date: Jun 28, 2024
• Publisher: IGI Global
• Pages: 2010-2019
• Book Title: Encyclopedia of business analytics and optimization
• Chapter Number: 181
• ISBN: 9781466652026
• DOI: https://doi.org/10.4018/978-1-4666-5202-6.ch181
• Keywords: Decision making; Business modeling; Game theory; Reinforcement learning; Machine learning
• Public URL: https://rgu-repository.worktribe.com/output/2152549