00:00 - Intro
01:32 - On Policy vs Off Policy
09:12 - Epsilon-Soft Code / Example
14:08 - Off Policy Methods
16:08 - Temporal Difference Learning
22:46 - Driving Home Example
29:06 - SARSA
33:21 - Q-Learning
36:11 - The Cliff Example
41:48 - Tabular vs 'Deep' RL
42:57 - Exam Questions
43:38 - Assignment 5 Demo
01:11:30 - Assignment 5 Code
Memorial University - Computer Science 3200 / 6980 - Winter 2026
Intro to Artificial Intelligence
Professor: David Churchill - http://www.cs.mun.ca/~dchurchill/
This course is an introduction to Artificial Intelligence (AI), covering algorithmic techniques and data structures used in modern problem-solving environments. Each topic will have a related assignment where the learned techniques are applied to simple games. This is the graduate version of COMP 3200.
Course Assignments / Files will not be released publicly
