Artificial Intelligence
CS 6300
Spring 2021
Schedule: Tue/Thr 12:25-1:45pm
Location: WEB 2250
Instructor: John Hollerbach
Office Hours: MEB 2178; TH 11:00am -- 12:15pm
TA:Amir Hossein Nazem Deligani Office hours 11am-1pm MW or WF as announced

Links: [Course information] [Homework] [Projects] [Exams] [Practice]

In the readings, RN refers to Russell and Norvig; SB refers to Sutton and Barto.

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Date Topics Readings Due Notes
19 Jan Introduction to AI opt: RN 1.1,2
Search
21 Jan Search I
Depth and breadth first search
3.1,3.3,3.4
opt: RN 3.2
26 Jan Search II
A* search and heuristics
3.5-3.6
opt: RN 4.1-4.2
P0 (27 Jan)
28 Jan Constraint Satisfaction Problems
Search, constraints and filtering
RN 6-6.3
2 Feb Game Playing I
Minimax search
RN 5-5.3 HW01
4 Feb Game Playing II
Expectimax search
RN 5.4-5.5
9 Feb Probability
Everything you need to know!
RN 13-13.5
opt: RN 13.6
HW02
11 Feb Utility
Consistency and risk
16-16.3
opt: RN 16.4
P1 (12 Feb)
Reinforcement Learning
16 Feb Markov Decision Processes I
Value iteration
RN 17.1-2
SB 3, 4.4
HW03
18 Feb Exam 1 Review
23 Feb Exam 1
25 Feb Markov Decision Processes II
Policy iteration
RN 17.3
SB 4.1-3
P2 (26 Feb)
2 Mar Reinforcement Learning I
TD-Learning
RN 21.1-2
SB 6.1-4
4 Mar Non-Instructional Day HW04
9 Mar Reinforcement Learning II
Q-Learning
RN 21.3
SB 6.5
11 Mar Reinforcement Learning III
Functional Approximation
RN 21.4-5
SB 8.1,8.2
HW05
16 Mar Reinforcement Learning IV
Policy representation and policy search
Reasoning Under Uncertainty
18 Mar Bayes' Nets I
Representation
RN 14-14.4 HW06
23 Mar Exam 2 Review
25 Mar Exam 2
30 Mar Bayes' Nets II
Independence, factors
RN 14.4-5 P3 (31 Mar)
1 Apr Bayes' Nets III
Variable elimination, sampling
6 Apr Non-Instructional Day HW07
8 Apr Decision Diagrams, Markov Chains
VPI, Mini-Forward Algorithm
RN 16.5-6, 15.1-3
13 Apr Hidden Markov Models I
Filtering
RN 15.2 HW08
15 Apr Hidden Markov Models II
Viterbi algorithm
RN 15.5
20 Apr Hidden Markov Models III
Particle filtering, Dynamic Bayes Nets
RN 15.5 HW09
22 Apr Partially-Observable Markov Decision Processes
Representation, value iteration
RN 17.4
Dummies, Sec 3-6
27 Apr Exam 3 Review HW10
P4 (30 Apr)
3 May Exam 3
10:30 am - 12 pm