- 01. Internal Components of a Reinforcement Trading Model: DQN and Rewards
- 02. Exercise 1: Calculating Log Returns
- 03. Exercise 1: Solution
- 04. Internal Components of an RL Trading Agent - Policy
- 05. Demo: Defining DQN Architecture
- 06. Demo: Defining Act Function and Experience Replay
- 07. Exercise 2: Defining a Trading Agent in Python
- 08. Exercise 2: Solution
- 09. Understanding the Training Process
- 10. Training a Profitable Agent
- 11. Demo: Preparing for Training in Python
- 12. Demo: Training a DQN Model in Python
- 13. Exercise 3: Training your DQN in Python
- 14. Exercise 3: Solution
- 15. Conclusion
- 16. Quiz