Resources

Date Lectures and Exercises Additional Resources
Week 1
Jan 10, 12
Introduction, AI Ethics

Week 2
Jan 17, 19
Search

Week 3
Jan 24, 26
Constraint Satisfaction Problems and Local Search

Week 4
Jan 31, Feb 2
Adversarial Search, Utilities
  • [Adversarial Search]
  • [Utilities]

Week 5
Feb 7, 9
Markov Decision Processes
  • [MDPs]
  • [Reinforcement Learning I]

Week 6
Feb 14, 16
Reinforcement Learning
  • [Reinforcement Learning II]
  • [Probability]