Module 05: Function Approximation & DQN

Coming soon.

Scaling RL beyond tables - where neural networks enter the picture and everything gets both more powerful and more fragile.

Learning Objectives

• Understand why tabular methods don't scale
• Implement linear function approximation
• Build a DQN from scratch (experience replay, target networks)
• Implement Double DQN and Dueling DQN variants

Concept Explanation

Coming soon.

Code Examples

Coming soon.

Exercises

Coming soon.