AERE504: Syllabus

Fall Semester 2019

Reading should be done after the associated lecture. Demonstrations during the lecture will be done in the Julia language using IJulia notebooks.

Date Topic Reading Due
Aug. 27 Overview DMU 1
Aug. 29 Probabilistic Representations DMU 2.1
Sept. 3 Probabilistic Inference DMU 2.2
Sept. 5 Parameter Learning DMU 2.3
Sept. 10 Structure Learning DMU 2.4
Sept. 12 Midterm 1 Problem Review Session
Sept. 17 Midterm 1 (in class)
Sept. 19 Decision Theory and Games DMU 3.1-3.3
Sept. 24 Markov Decision Processes DMU 4.1-4.4 Project 1
Sept. 26 Approximate Dynamic Programming DMU 4.5-4.7
Oct. 1 Exploration and Exploitation DMU 5.1
Oct. 3 Model-Based Reinforcement Learning DMU 5.2-5.3
Oct. 8 Model-Free Reinforcement Learning DMU 5.4-5.5
Oct. 10 Deep Reinforcement Learning
Oct. 15 State Uncertainty DMU 6.1-6.2
Oct. 17 Exact POMDP Methods DMU 6.3 Project 2
Oct. 22 Offline POMDP Methods DMU 6.4 Proposal
Oct. 24 Online POMDP Methods DMU 6.5
Oct. 29 Midterm 2 Problem Review Session
Oct. 31 Midterm 2 (in class)
Nov. 5 Deep Reinforcement Learning for Autonomous Aircraft Routing (Xuxi Yang)
Nov. 7 MDP for Air Traffic Management (Guodong Zhu) (Take-home Exam Release)
Nov. 12 Selected topic in Reinforcement Learning
Nov. 14 Selected topic in Reinforcement Learning
Nov. 19 Selected topic in Reinforcement Learning Take-home Exam
Nov. 21 Selected topic in Reinforcement Learning
Nov. 26 Thanksgiving Break
Nov. 28 Thanksgiving Break
Dec. 3 Selected topic in Reinforcement Learning
Dec. 5 Selected topic in Reinforcement Learning
Dec. 10 No Class Final Project Paper
Dec. 12 No Class Peer Review