Schedule
Applied Artificial Intelligence
| Date | Reading | Assignment | ||
|---|---|---|---|---|
| 9/10 (Thurs.) Video | Chapter 1 | Course Overview, Intro to AI | ||
| Search | ||||
| 9/15 (Tues.) Video | Chapter 3 (Sec 1-4) | Problem Solving and Search |
Project 1 (Search) out Homework 1 out |
|
| 9/17 (Thurs.) Video | Chapter 3 (Sec 5-7) | Informed Search Algorithms | ||
| 9/22 (Tues.) | Chapter 4 (Sec 1-2) | Local Search Algorithms |
Homework 1 due Homework 2 out |
|
| 9/24 (Thurs.) | Branavan et al. Reinforcement Learning for Mapping Instructions to Actions. ACL 2009 | Stochastic Gradient Descent | ||
| 9/29 (Tues.) | Chapter 4 (Sec 4.5) | Online Search |
Homework 2 due Homework 3 out |
|
| 10/1 (Thurs.) | Chapter 5 (Sec 1-3) | Adversarial Search Algorithms | Project 1 (Search) due | |
| Uncertainty | ||||
| 10/6 (Tues.) | Plausible Reasoning & Quantitative Rules |
Homework 3 due Homework 4 out Project 2 (SLAM) out |
||
| 10/8 (Thurs.) |
Chapter 14 (Sec 1-3) |
|||
| 10/13 (Tues.) | Chapter 14 (Sec 4-5), Chapter 15 (Sec 1-2)
Probabilistic Robotics, Chapter 2 |
Bayesian Networks |
Homework 4 due |
|
| 10/15 (Thurs.) |
Application: SLAM |
Inference in Bayesian Networks (Bayes' Filters) | ||
| 10/20 (Tues.) | RRT's | |||
| 10/22 (Thurs.) | Review | Project 2 (SLAM) due | ||
| 10/27 (Tues.) | Midterm (in class) | Homework 5 out | ||
| Making a Decision | ||||
| 10/29 (Thurs.) | Chapter 16 | Making Simple Decisions |
Project 3 (Classification) out at midnight |
|
| 11/3 (Tues.) | Mitchell Chapter | Naive Bayes and Logistic Regression |
Homework 5 due Homework 6 out |
|
| 11/5 (Thurs.) | Chapter 18 (Sec 1-3) | Support Vector Machines | ||
| 11/10 (Tues.) | Chapter 24 | Application: Object Recognition |
Homework 6 due Homework 7 out |
|
| Making a Sequence of Decisions | ||||
| 11/12 (Thurs.) | Chapter 17 (Sec 1-2) | Sequential Decision Problems and MDPs | Project 3 (Classification) due | |
| 11/17 (Tues.) | Chapter 21 (Sec 1-3) | Reinforcement Learning |
Project 4 (Reinforcement Learning) out Homework 8 out (note HW overlap) |
|
| 11/19 (Thurs.) | Chapter 21 (Sec 5) |
Policy Search |
||
| 11/24 (Tues.) | R-Max and model-based methods |
Homework 7 due |
||
| 11/25 (Wed) | THANKSGIVING | |||
| 12/1 (Tues.) | Chapter 25 (Sec 4-6) |
Movement |
Homework 8 due |
|
| 12/3 (Thurs.) | Final Review | |||
| 12/8 (Tues) |
No Class |
Project 4 (Reinforcement Learning) due |
||
| 12/15 | Final Exam (2:00 PM) |
Homework Schedule
Homeworks are due at 11:59pm on their "In" Date. This schedule and the schedule above may change (especially for the latter part of the semester).
| Assignment | Out | In |
|---|---|---|
| 1: Tree and Graph Search | 9/15 | 9/22 |
| 2: Local Search | 9/22 | 9/29 |
| 3: Stochastic Gradient Descent and Adversarial Search | 9/29 | 10/6 |
| 4: Probability | 10/6 | 10/13 |
| 5: Bayes Nets | 10/27 | 11/3 |
| 6: Decision Making and Machine Learning | 11/3 | 11/10 |
| 7: Markov Decision Processes | 11/10 | 11/24 |
| 8: Reinforcement Learning | 11/17 | 12/1 |