Explore the fundamentals of reinforcement learning in this introductory video lecture. Gain insights into the core concepts, including the differences between reinforcement learning and supervised learning, and understand why reinforcement learning is crucial in today's AI landscape. Discover how deep reinforcement learning combines deep learning techniques with traditional RL approaches. Examine real-world applications and examples, such as game-playing AI, robotic movement, and object manipulation. Learn about the course structure, recommended textbooks, and prerequisites. Witness the potential of reinforcement learning to achieve superhuman performance in various tasks, from playing Atari games to complex motor control in robotics.
Overview
Syllabus
Intro
Outline
Course Overview
Course Structure: Foundation
Course Structure: Advanced Topics
Textbook: Sutton and Barton
Prerequisites
What is reinforcement learning and why we care
Reinforcement Learning: Playing Breakout
Difference between Reinforcement Learning and Supervised Learning
Features of Reinforcement Learning
Big deal: Able to Achieve Superhuman Performance
Examples of reinforcement learning
RL example: Pong
Deep Reinforcement Learning: Deep Learning + Reinforcement Learning
Why RL works now?
More Examples on RL
Learning to walk
Learning to grasp
Learning to move fingers
Learning to dress
Taught by
Bolei Zhou
