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Study mode:
on
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Intro
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Outline
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Course Overview
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Course Structure: Foundation
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Course Structure: Advanced Topics
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Textbook: Sutton and Barton
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Prerequisites
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What is reinforcement learning and why we care
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Reinforcement Learning: Playing Breakout
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Difference between Reinforcement Learning and Supervised Learning
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Features of Reinforcement Learning
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Big deal: Able to Achieve Superhuman Performance
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Examples of reinforcement learning
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RL example: Pong
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Deep Reinforcement Learning: Deep Learning + Reinforcement Learning
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Why RL works now?
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More Examples on RL
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Learning to walk
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Learning to grasp
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Learning to move fingers
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Learning to dress
Description:
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.

Introduction to Reinforcement Learning - Lecture 1: Overview of RL

Bolei Zhou
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