Assignments

Date Topic
Week 1
Jan 10, 12
Introduction, AI Ethics

Reading: due Monday 1/9, 5:00 pm
Reading: due Wednesday 1/11, 5:00 pm
  • Textbook Chapter 1 through the end of Section 1.1 (Rest of Chapter 1 is optional - we recommend skimming it at least)
  • Textbook Chapter 2.1-2.3
Programming: due Tuesday 1/10, 11:59 pm
Programming: due Thursday 1/12, 11:59 pm
Week 2
Jan 17, 19
Search

Reading: due Monday 1/16, 5:00 pm
  • Textbook Chapter 3
Homework: due Monday 1/30, 11:59 pm
Programming: due Wednesday 2/1, 11:59 pm
Week 3
Jan 24, 26
Constraint Satisfaction Problems and Local Search

Reading: due Monday 1/23, 5:00 pm
  • Textbook Chapter 6
  • Textbook Sections 4.1 and 4.2 (Rest of Chapter 4 is optional - we recommend skimming it at least)
Homework: due Monday 2/13, 11:59 pm
Week 4
Jan 31, Feb 2
Adversarial Search, Utilities

Reading: due Monday 1/30, 5:00 pm
  • Textbook Chapter 5 through the end of Section 5.5 (Rest of chapter 5 is optional - we recommend at least skimming it)
  • Textbook Chapter 16 through the end of Section 16.3
Programming: due Wednesday 2/15, 11:59 pm
Week 5
Feb 7, 9
Markov Decision Processes

Reading: due Monday 2/6, 5:00 pm
  • Textbook Chapter 17 through the end of Section 17.3
  • Sutton and Barto Chapters 3 and 4
Homework: due Monday 2/27, 11:59 pm
  • Homework 3: MDPs, Reinforcement Learning
Week 6
Feb 14, 16
Reinforcement Learning

Reading: due Monday 2/13, 5:00 pm
Programming: due Wednesday 3/1, 11:59 pm
  • Project 3: Reinforcement Learning