1
|
Sep. 6
|
R
|
Csaba
|
Chapter 1: Introduction
|
2
|
Sep. 11
|
T
|
Csaba |
Chapter 2: Evaluative feedback
|
3
|
Sep. 13
|
R
|
Mohammad
|
Chapter 3
|
4
|
Sep. 18
|
T
|
Mohammad |
Chapter 4
|
5
|
Sep. 20
|
R
|
Mohammad |
Chapter 4 + Linear Programming
|
6
|
Sep. 25
|
T
|
Csaba |
Chapter 5
|
7
|
Sep. 27
|
R
|
Mohammad |
Chapter 6
|
8
|
Oct. 2
|
T
|
Mohammad |
Chapter 6
|
9
|
Oct. 4
|
R
|
Mohammad |
Chapter 7
|
10
|
Oct. 9
|
T
|
Mohammad |
Chapter 7
|
11
|
Oct. 11
|
R
|
Csaba |
Chapter 8
|
12
|
Oct. 16
|
T
|
Csaba |
Chapter 8
|
13
|
Oct. 18
|
R
|
Csaba |
Chapter 9
|
14
|
Oct. 23
|
T
|
Csaba |
Chapter 9 + Prioritized Sweeping
+ Chapter 10 |
15
|
Oct. 25
|
R
|
Csaba |
Chapter 11 + wrap up the book
+ Pre-Midterm Questions |
16
|
Oct. 30
|
T
|
|
Midterm Exam |
17
|
Nov. 1
|
R
|
Mohammad
|
Policy Gradient and Actor-Critic
Algorithms |
18
|
Nov. 6
|
T
|
Mohammad |
Policy Gradient and Actor-Critic
Algorithms |
19
|
Nov. 8
|
R
|
Mohammad |
Policy Gradient and Actor-Critic
Algorithms |
|
Nov. 13
|
T
|
|
Holiday
|
20
|
Nov. 15
|
R
|
Csaba
|
Least Square Methods |
21
|
Nov. 20
|
T
|
Csaba |
Least Square Methods |
22
|
Nov. 22
|
R
|
Csaba |
Least Square Methods |
23
|
Nov. 27
|
T
|
Mohammad |
Hierarchical Reinforcement
Learning |
24
|
Nov. 29
|
R
|
Mohammad |
Hierarchical Reinforcement
Learning |
25
|
Dec. 4
|
T
|
|
Last Class
|
|
Dec. 12 at 14:00
|
W
|
|
Final exam scheduled by the
university
|
