- 01. Introduction to Reinforcement Learning
- 02. Introduction to Q Learning
- 03. Evaluation Metrics
- 04. Demo Part 1: Applying an RL Model to the Cartpole Environment
- 05. Demo Part 2: Applying an RL Model to a Custom Environment
- 06. Demo Part 3: Reinforcement Model Versatility
- 07. Demo Part 4: Applying an RL Model to a Small Stock Market Dataset
- 08. Demo Part 5: Applying a RL Model to a Historic Market Dataset
- 09. Exercise Reinforcement Learning
- 10. Exercise Reinforcement Learning Solution
- 11. Deciding What System to Use
- 12. Conclusion