Reinforcement Learning – module 5

Module 5: Monte Carlo for Prediction and Control

• What is Monte Carlo?
• Prediction
• Action Values
• Blackjack example
• Epsilon-soft policies
• Off-policy learning

Hands-on Lab:

• Implement the off-policy learning methods and compare them with the single policy ones for a grid world game
• Understand Markov Decision Processes by creating a classifier for thrash random writing