Explore Q-Learning, a powerful AI technique for building policy tables that suggest optimal actions in various environmental states. Dive into Python implementation for future integration with Keras. Learn about key concepts, visualize the Mountain Car problem, and understand reinforcement learning principles. Discover how to apply Q-Learning to solve the car climbing challenge. Access accompanying code on GitHub and explore additional resources for deeper understanding of deep learning concepts.
Overview
Syllabus
Introduction
Google Collab
Key Learning
Mountain Car
Visualization
Reinforcement
QLearning Car
Taught by
Jeff Heaton
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