Deep Reinforcement Learning - Neural Networks for Learning Control Laws
Offered By: Steve Brunton via YouTube
Course Description
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
Related Courses
6.S094: Deep Learning for Self-Driving CarsMassachusetts Institute of Technology via Independent Natural Language Processing (NLP)
Microsoft via edX Deep Reinforcement Learning
Nvidia Deep Learning Institute via Udacity Advanced AI: Deep Reinforcement Learning in Python
Udemy Self-driving go-kart with Unity-ML
Udemy