March | ||||
Monday | Tuesday | Wednesday | Thursday | Friday |
26 | 27 | 28 | 29 | 30 |
April | ||||
Monday | Tuesday | Wednesday | Thursday | Friday |
02 | 03 | 04
14:30-15:20 Lecture
MGH 241 Heuristics (cont)
23:59 Project 0 (Python tutorial) due
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05 | 06 |
09 | 10 | 11 | 12 | 13
14:30-15:20 Lecture
MGH 241 Adversarial Search (continued)
23:59 Project 1 (Search in PacMan) due
|
16 | 17 | 18 | 19 | 20
14:30-15:20 Lecture
MGH 241 Markov Decision Processes (continued) |
23
14:30-15:20 Lecture
MGH 241 MDPs: Value Iteration RN: Chapter 17, Sections 17.1, 17.2
23:59 Project 2 (Multiagent PacMan) due
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24 | 25 | 26 | 27 |
30
14:30-15:20 Midterm exam
|
01 | 02 | 03 | 04
14:30-15:20 Lecture
MGH 241 Reinforcement Learning (cont) -- feature-based approximate Q-Learning |
May | ||||
Monday | Tuesday | Wednesday | Thursday | Friday |
07
23:59 Project 3 (Reinforcement Learning) due
|
08 | 09 | 10 | 11 |
14
14:30-15:20 Lecture
MGH 241 Particle Filters for HMMs. (Optional TOH Values Iteration program due at 11:59 PM). RN: Chapter 15, Section 15.5 |
15 | 16
14:30-15:20 Lecture
MGH 241 HMMs (cont.) |
17 | 18
23:59 Project 4 (Ghostbusters) due
|
21 | 22 | 23 | 24 | 25
23:59 Project 5 (Pattern Classification) due
|
28
Memorial Day
|
29 | 30 | 31 | 01
14:30-15:20 Lecture
MGH 241 Social Issues and the Future of AI, incl. Asimov's 3 Laws of Robotics; course wrapup. Slides (Future of AI) 1-up Slides (Course wrapup) 1-up
23:59 Homework 6 (Written Exercises) due
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June | ||||
Monday | Tuesday | Wednesday | Thursday | Friday |
04 | 05
14:30-16:20 Final exam
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06 | 07 | 08 |