(subject to change)
Wk. | Dates | Lecture slides | Reading (optional reading) |
---|---|---|---|
1 | Sep 25 | Introduction; Agents | R&N, 1,2,3.1 |
2 | Sep 30; Oct 2 | Search; Informed Search | R&N 3.2-end, 5.1-5.2; Search tool |
3 | Oct 7,9 | Informed Search (cont.); Adversarial Search | R&N 5.3-5.5, (4) |
4 | Oct 14, 16 | ExpectiMax; Markov Decision Processes (MDPs) | R&N 17.1-17.3, (S&B 4.3-4.4) |
5 | Oct 21, 33 | Reinforcement Learning | R&N 22.1-22.5, (S&B 5.1-5.5) |
6 | Oct 28, 30 | RL (cont.); Uncertainty | R&N 12, 13.1-13.3 (MIT notes), R&N 15.1-15.3 |
7 | Nov 4, 6 | Hidden Markov Models | R&N 15.1-15.3 |
8 | Nov 13 (Nov 11 holiday) | Bayesian Networks (BNs) | R&N 14.1-14.3 |
9 | Nov 18, 20 | BN (cont); Inference in BNs | R&N 14.4-14.5 |
10 | Nov 25 (Nov 27 canceled) | BN Inference (cont) | R&N 18.1-18.2; 20.1-20.2 |
11 | Dec 2, 4 | Machine Learning | R&N 18.1-18.2; 20.1-20.2 |
We also have office hours in a number of different times and locations.
Individual assignments graded on correctness and due by 11:59pm on the day listed. Worth 33% of grade total.
Projects (PR) | Total Points | Due |
---|---|---|
0: Warm-up | N/A | Not graded |
1: Search | 25 | Fri, Oct 18 |
2: Multi-Agent Search | 25 | Wed, Oct 30 |
3: Reinforcement Learning | 25 | Wed, Nov 13 |
4: Inference and Filtering | 25 | Wed, Nov 27 |
We will have one written assignment / takehome exam that will be due Th Dec 5th. Worth 33% of grade total. You may handwrite and scan the homework if you would like, but the answers must be clearly visible (i.e., pencil may not work).
Homeworks (HW) | Due |
---|---|
Written Assignment | Thu, Dec 5 |
Please stay home if you're ill. Lectures are recorded and most office hours are held remotely. If one of the course staff becomes ill we will move the appropriate events online. Consult the UW policies for more information.
Please use Ed (link coming soon!) for course related questions.
Lecture slides will be posted on this site before the relevant day. We will alert the class if any major changes are made to correct errors, etc after posting.
We welcome students from all backgrounds and adhere to the Allen School’s Inclusiveness Statement. If anything related to the course makes you feel unwelcome in any way, let the instructor know.
We are eager to provide necessary accommodations.
For disability accommodations, please see the UW resources.
For religious accommodations, please see the UW resources.
We recognize that our students come from varied backgrounds and can have widely-varying circumstances. If you have any unforeseen or extenuating circumstance that arise during the course, please do not hesitate to contact the instructor to discuss your situation. The sooner we are made aware, the more easily these situations can be resolved. Extenuating circumstances may include: