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Realistic Microcircuits
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A reinforcement learning example (Sutton and Barto 1998)
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Model Information
Model File
Accession:
83514
This MATLAB script demonstrates an example of reinforcement learning functions guiding the movements of an agent (a black square) in a gridworld environment. See at the top of the matlab script and the book for more details.
Reference:
1 .
Sutton RS, Barto AG (2002)
Reinforcement learning: An introduction (2nd ed)
2 .
Sutton RS, Barto AG (1998)
Reinforcement learning: an introduction
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Model Information
(Click on a link to find other models with that property)
Model Type:
Connectionist Network;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
MATLAB (web link to model);
Model Concept(s):
Reinforcement Learning;
Implementer(s):
Hasselmo, Michael E [hasselmo at bu.edu];
(located via links below)