Module 04: Monte Carlo & Temporal Difference Methods

Coming soon.

Learning from experience without a model - the transition from "I know the rules" to "I'm figuring it out as I go."

Learning Objectives

• Implement Monte Carlo prediction and control
• Understand TD(0), SARSA, and Q-learning
• Compare MC vs TD learning curves
• Implement eligibility traces (TD(lambda))

Concept Explanation

Coming soon.

Code Examples

Coming soon.

Exercises

Coming soon.