Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models

Olmez, S., Birks, D., Heppenstall, A. et al. (1 more author) (2024) Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models. Computers, Environment and Urban Systems, 112. 102141. ISSN 0198-9715

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Item Type: Article
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© 2024 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Agent-based model, Reinforcement learning, Environmental criminology, Rational choice perspective, Decision-making
Dates:
  • Published (online): 27 June 2024
  • Accepted: 11 June 2024
  • September 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 18 Jun 2024 13:12
Last Modified: 24 Jul 2024 15:13
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.compenvurbsys.2024.102141
Open Archives Initiative ID (OAI ID):

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