| Date | Slides | Reading |
|---|---|---|
| Monday 9/25 | Introduction [2pp, 6pp] | Chapter 1 |
| Wednesday 9/27 | Agents [2pp, 6pp] | Chapter 2 |
| Friday 9/29 | Uninformed Search [2pp, 6pp] Assignment #1 out |
Sections 3.1-3.6 |
| Monday 10/2 | Informed Search [2pp, 6pp] | Sections 4.1-4.2 |
| Wednesday 10/4 | Local Search (Hillclimbing, Simulated Annealing) [2pp, 6pp] | Section 4.3 |
| Friday 10/6 | Local Search (Genetic Algorithms, Gradient Descent) [2pp, 6pp] | Section 4.3, 4.4 |
| Monday 10/9 | Adversarial Search [2pp, 6pp] Alpha-Beta Pruning Exercise |
Section 6.1, 6.2, 6.3 |
| Wednesday 10/11 | Adversarial Search II [2pp, 6pp] Assignment #1 due |
Section 6.4, 6.5, 6.6, 6.7 |
| Friday 10/13 | Adversarial Search II [notes from last time] Assignment #2 out |
|
| Monday 10/16 | Game Theory I [2pp, 6pp] | Section 17.6 |
| Wednesday 10/18 | Game Theory II [2pp, 6pp] | Section 17.6 |
| Friday 10/20 | Game Theory III [2pp, 6pp] | Section 17.6 |
| Monday 10/23 | Game Theory III (continuing with notes from last time) | Sections 7.1, 7.2, 7.3 |
| Wednesday 10/25 | Propositional Logic I [2pp, 6pp] Practice Midterm Assignment #2 due |
Sections 7.1, 7.2, 7.3 |
| Friday 10/27 | Midterm Review (Genetic Algorithm Example) [2pp, 6pp] Practice Midterm Solutions |
|
| Monday 10/30 | Midterm | |
| Wednesday 11/1 | Propositional Logic II [2pp, 6pp] Midterm solutions |
Sections 7.4, 7.5 |
| Friday 11/3 | Probability [2pp, 6pp] | Section 13.2, 13.3, 13.4 |
| Monday 11/6 | Probability II [2pp, 6pp] | Section 13.5, 13.6, 14.1 |
| Wednesday 11/8 | Bayesian Networks I [2pp, 6pp] Assignment #3 out |
Section 14.2 |
| Friday 11/10 | Naive Bayes and Text Mining [2pp, 6pp] | Section 14.2 |
| Monday 11/13 | Bayesian Networks II (d-separation, Structure Learning) [2pp, 6pp] | Parts of 14.2 and 20.2 |
| Wednesday 11/15 | Bayesian Networks III (Inference) [2pp, 6pp] | 14.4 (ignore Variable Elimination) |
| Friday 11/17 | Markov Decision Processes [2pp, 6pp] | Sections 17.1-17.2 |
| Monday 11/20 | Markov Decision Processes II [2pp, 6pp] | Section 17.3 |
| Wednesday 11/22 | Markov Decision Processes III [2pp, 6pp], Reinforcement Learning [2pp, 6pp] Assignment #3 due, Assignment #4 out |
Sections 21.1, 21.2 |
| Friday 11/24 | Thanksgiving | |
| Monday 11/27 | Reinforcement Learning II [2pp, 6pp] | Sections 21.3 and Parts of 21.4 |
| Wednesday 11/29 | Reinforcement Learning III [2pp, 6pp] Assignment #4 due |
|
| Friday 12/1 | Exam Review | |
| Tnursday 12/7 | Exam (6:00 pm) |