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SQUARE MAZE SOLVED USING Q-LEARNING & EPSILON-GREEDY POLICY

version 2.0.0 (1020 KB) by Jonathan Sanz Carcelén
Solving a randomly generated square maze using a Q-Learning algorithm involving an epsilon-greedy policy.

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Updated 14 Sep 2020

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The aim of this code is solving a randomly generated square maze (dimension n) using a Q-Learning algorithm involving an epsilon-greedy policy.
A report has been done so as to help the user to better understand the code and the theory behind Q-Learning.
The user can choose the starting and ending points of the maze and its dimension n.

Cite As

Jonathan Sanz Carcelén (2021). SQUARE MAZE SOLVED USING Q-LEARNING & EPSILON-GREEDY POLICY (https://www.mathworks.com/matlabcentral/fileexchange/80146-square-maze-solved-using-q-learning-epsilon-greedy-policy), MATLAB Central File Exchange. Retrieved .

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MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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