Dive into the intricacies of Q Learning with a focus on Experience Replay in this 27-minute tutorial video. Learn how to format data and implement Experience Replay techniques as part of a comprehensive series on Q Learning. Explore preprocessing methods, testing procedures, and the concept of Sample Replay. Access the accompanying code on GitHub and delve into the original DQN paper for a deeper understanding. Build upon knowledge from previous videos in the series to enhance your grasp of Q Learning principles and applications.
Overview
Syllabus
Intro
Preprocessing
Testing
Experience Replay
Sample Replay
Taught by
Edan Meyer
Related Courses
-
Deep Reinforcement Learning in Python
-
Q Learning Tutorial - Training Loop
-
Modern Reinforcement Learning: Deep Q Learning in PyTorch
-
Reinforcement Learning beginner to master - AI in Python
-
Advanced Reinforcement Learning in Python: from DQN to SAC
-
Reinforcement Learning Course - Full Machine Learning Tutorial
