Class
|
Date
|
Topic / Link to Slides
|
Homework
|
Comments/ Handouts
|
| 1
|
1/27
|
Intro
|
|
|
| 2
|
1/29
|
Agents
|
|
|
| 3
|
2/3
|
Problem Solving as Search (Covered breadth first, depth first, uniform cost serach, bi-directional search, and iterative deepening search. For more info, see your textbook)
|
|
Old Slides
|
|
4
|
2/5
|
Uninformed Search (Covered A*, Greedy, A)
|
Project 1 Out
|
|
| 5 |
2/10 |
Local Search (Hill climbing, gradient ascent, particle swarm optimization, simulated annealing, genetic algorithm)
|
Homework 1 Out: Russel and Norvig 3.14, 3.15, 3.26(a-e only), 4.1
|
Old Slides
|
|
6
|
2/12
|
Game Playing (Minimax, Alphabeta, Execptaminimax)
| |
Old Slides |
|
7
|
2/17
|
SNOW DAY
| Project 1 Due, Homework 1 Due |
Multi-agent pathfinding, Bee Colonly Paper |
|
8
|
2/19
|
Constraint Satisfaction
| |
|
|
9
|
2/24
|
Constraint Satisfaction
| Project 2 Out |
|
|
10
|
2/26
|
Game Theory
| |
|
|
11
|
3/3
|
Cancelled
| |
|
Review
|
12
|
3/5
|
Midterm
| |
|
|
13
|
3/10
|
Probability Review
|
|
|
|
14
|
3/12
|
Bayes Nets |
|
|
|
15
|
3/24
|
Machine Learning |
|
ML Slides part 1,ML Slides part 2 |
|
16
|
3/26
|
Machine Learning |
|
|
|
17
|
3/31
|
Cancelled |
|
|
|
18
|
4/2
|
Machine Learning |
|
|
|
19
|
4/7
|
Logic
|
Project 3 out, Project 4 out |
|
|
20
|
4/9
|
Logical Inference |
|
Logic Slides |
|
21
|
4/14
|
Logical Inference
|
|
Inference |
|
22
|
4/16
|
Social Networks |
|
|
|
23
|
4/21
|
Reinforcement Learning |
Homework 2
|
|
|
24
|
4/23
|
Reinforcement Learning |
|
|
|
25
|
4/28
|
Reinforcement Learning |
|
RL |
26
|
4/30
|
TBA |
|
|
27
|
5/5
|
TBA |
|
|
28
|
5/7
|
TBA |
|
|
29
|
5/12
|
Review |
|
Final exam |
|