scholarly journals A multiplicative reinforcement learning model capturing learning dynamics and interindividual variability in mice

2013 ◽  
Vol 110 (49) ◽  
pp. 19950-19955 ◽  
Author(s):  
B. Bathellier ◽  
S. P. Tee ◽  
C. Hrovat ◽  
S. Rumpel
Keyword(s):  
Reinforcement Learning ◽  
Interindividual Variability ◽  
Learning Model ◽  
Learning Dynamics ◽  
Reinforcement Learning Model

scholarly journals Modeling individual variation in visual search with reinforcement learning

2020 ◽  
Author(s):  
Ben Lonnqvist ◽  
Micha Elsner ◽  
Amelia R. Hunt ◽  
Alasdair D F Clarke
Keyword(s):  
Visual Acuity ◽  
Reinforcement Learning ◽  
Visual Search ◽  
Individual Variation ◽  
Learning Model ◽  
Participant Preferences ◽  
Search Experiment ◽  
Reinforcement Learning Model ◽  
Specific Learning

Experiments on the efficiency of human search sometimes reveal large differences between individual participants. We argue that reward-driven task-specific learning may account for some of this variation. In a computational reinforcement learning model of this process, a wide variety of strategies emerge, despite all simulated participants having the same visual acuity. We conduct a visual search experiment, and replicate previous findings that participant preferences about where to search are highly varied, with a distribution comparable to the simulated results. Thus, task-specific learning is an under-explored mechanism by which large inter-participant differences can arise.

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