Introduction to RL

Introduction to RL

Pascal Poupart via YouTube Direct link

Reinforcement Learning Problem

3 of 14

3 of 14

Reinforcement Learning Problem

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Classroom Contents

Introduction to RL

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  1. 1 Intro
  2. 2 Markov Decision Process
  3. 3 Reinforcement Learning Problem
  4. 4 Policy optimization
  5. 5 Example: Inverted Pendulum
  6. 6 Important Components in RL
  7. 7 Categorizing RL agents
  8. 8 Toy Maze Example
  9. 9 Model free evaluation
  10. 10 Monte Carlo Evaluation
  11. 11 Model Free Control
  12. 12 Bellman's Equation
  13. 13 Monte Carlo Control
  14. 14 Temporal Difference Control

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