Due at NOON on Wednesdays
See also the course calendar.
Assignment | Out | Due |
---|---|---|
Homework 0: Introduction to Search | 09/04 | 09/18 |
Homework 1: Search | 09/11 | 09/18 |
Homework 2: Adversarial Search | 09/18 | 09/25 |
Homework 3: Constraint Satisfaction | 09/25 | 10/02 |
Homework 4: Model Selection in Supervised Learning | 10/02 | 10/09 |
Homework 5: Gradient Descent & Naive Bayes | 10/09 | 10/16 |
Homework 6: Linear Regression | 10/16 | 10/23 |
Homework 7: Neural Networks | 10/23 | 10/30 |
Homework 8: MDPs (Dynamic Programming) | 11/1 | 11/08 |
Homework 9: MDPs + RL (Function Approximation) | 11/08 | 11/15 |
Final Project | 11/15 | 12/4 (Part 1)
12/12 (Part 2) 12/17 (Part 3) |
Homework 10: Unsupervised Learning | 11/22 | 12/4 |