Overview
Explore the groundbreaking advancements in deep reinforcement learning for control systems in this 21-minute video lecture. Discover how deep neural networks are revolutionizing reinforcement learning applications, from chess and AlphaGo to robotic systems. Gain insights into leading algorithms and impressive real-world applications. Learn about human-level control achievements, Google DeepMind's contributions, and other valuable resources in the field. Delve into specific examples like AlphaGo and elevator scheduling to understand the practical implications of these technologies. Enhance your understanding of how deep learning is reshaping the landscape of artificial intelligence and control systems.
Syllabus
Introduction
Human Level Control
Google DeepMind
Other Resources
Alphago
Elevator Scheduling
Summary
Taught by
Steve Brunton