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.
Model Type: Connectionist Network
Model Concept(s): Reinforcement Learning
Simulation Environment: MATLAB (web link to model)
Implementer(s): Hasselmo, Michael E [hasselmo at bu.edu]
References:
Barto AG, Sutton RS. (2002). Reinforcement learning: An introduction (2nd ed).
Barto AG, Sutton RS. (1998). Reinforcement learning: an introduction.