Reference material

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Assignment of material to quizzes below is tentative, but final assignment will be announced well before each quiz. SRN in an assignment means the material will be in the "spiritual" and "right-now" part of the quiz. See Grading and collaboration policy.

Included below are readings associated with lecture topics; many are from Prof. Winston's book, Artificial Intelligence . If/when terminology differs, prefer terminology used in the current lectures, recitations, and programming labs.


September Day Topic Quiz #
4 Wed What it's all about, summary
6 Fri Problem solving and goal trees, slides 1
9 Mon Rule-based expert systems, slides 1
11 Wed Lightning review: Basic search, slides 1
13 Fri Optimal search, boards 1
16 Mon Games, games practice 1, games soln 1, games practice 2, games soln 2 1
18 Wed Constraints in interpretation, slides 2SRN
20 Fri Holiday: Student -
23 Mon Constraints in resource allocation, slides 2
25 Wed Quiz 1, solutions -
27 Fri Right-now: Dr. Marc Raibert, Boston Dynamics 2SRN
30 Mon Nearest neighbor learning, slides 2
October Day Topic Quiz #
2 Wed Identification tree learning, boards 2
4 Fri Right-now: Prof. Ed Boyden, Dept. of Biological Engineering 2SRN
7 Mon Neural net learning, slides 3
9 Wed Deep neural nets, slides 2SRN
11 Fri Right-now: Prof. Aleksander Madry 2SRN
14 Mon Holiday: Columbus day -
16 Wed Quiz 2 -
18 Fri AlphaGo and AlphaZero, slides, boards 3SRN
21 Mon Support vector machines, SVM (and boosting) notes, slides 3
23 Wed Learning in sparse spaces 3SRN
25 Fri Genetic algorithms 3SRN
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