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(Ready). A template for implementing Q-Learning.

Python 100.00%

q_learning_template's Introduction

Q-Learning template

A simple template for implementing Q-Learning using the classical update equation:

Q(state, action) = Q(state, action) + learn_rate * (reward + discount_factor * np.max(Q(state', :)) — Q(state, action))

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q_learning_template's Issues

Implement basic Q Learning

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