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Classroom Contents
Introduction to Artificial Intelligence: Reinforcement Learning - Lecture 13
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- 1 - Preroll
- 2 - Greetings
- 3 - Lecture Start
- 4 - RL Textbook
- 5 - What is RL?
- 6 - What is Machine Learning?
- 7 - RL is a Problem Specification
- 8 - Learning via Interaction
- 9 - RL Process Diagrams
- 10 - Example 1: Cart Pole
- 11 - Example 2: Mountain Car
- 12 - Elements of RL Problems
- 13 - Policy
- 14 - Rewards
- 15 - Returns
- 16 - Values
- 17 - Model of Environment
- 18 - Exploration vs Exploitation
- 19 - Concluding Remarks
