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Q-Learning Tutorials - Deep Q Networks, Experience Replay, and Advanced Architectures

Edan Meyer via YouTube

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Overview

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Learn Q-Learning fundamentals and advanced techniques through a comprehensive tutorial series covering AI explanations, Deep Q Networks implementation, experience replay mechanisms, training loops, loss functions, testing and visualization methods, plus advanced architectures including double and dueling networks for reinforcement learning applications.

Syllabus

Q Learning AI Explained
Q Learning Tutorial: Deep Q Networks
Q Learning Tutorial: Experience Replay
Q Learning Tutorial: Training Loop
Q Learning Tutorial: Training & Loss Function
Q Learning Tutorial: Testing & Visualizing
Q Learning Tutorial: Double Architecture
Q Learning Tutorial: Dueling Architecture

Taught by

Edan Meyer

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