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


Journal article


Sedar Olmez, Dan Birks, Alison Heppenstall, Jiaqi Ge
Computers, Environment and Urban Systems, Elsevier


Cite

Cite

APA   Click to copy
Olmez, S., Birks, D., Heppenstall, A., & Ge, J. Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models. Computers, Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2024.102141


Chicago/Turabian   Click to copy
Olmez, Sedar, Dan Birks, Alison Heppenstall, and Jiaqi Ge. “Learning the Rational Choice Perspective: A Reinforcement Learning Approach to Simulating Offender Behaviours in Criminological Agent-Based Models.” Computers, Environment and Urban Systems (n.d.).


MLA   Click to copy
Olmez, Sedar, et al. “Learning the Rational Choice Perspective: A Reinforcement Learning Approach to Simulating Offender Behaviours in Criminological Agent-Based Models.” Computers, Environment and Urban Systems, Elsevier, doi:10.1016/j.compenvurbsys.2024.102141.


BibTeX   Click to copy

@article{sedar-a,
  title = {Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models},
  journal = {Computers, Environment and Urban Systems},
  publisher = {Elsevier},
  doi = {10.1016/j.compenvurbsys.2024.102141},
  author = {Olmez, Sedar and Birks, Dan and Heppenstall, Alison and Ge, Jiaqi}
}