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COMP3200 - Intro to Artificial Intelligence - Lecture 17 - TD Learning + Assignment 5
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Classroom Contents
Introduction to Artificial Intelligence (2021-09)
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- 1 COMP3200 - Intro to Artificial Intelligence - Lecture 01 - Course Intro + What is AI?
- 2 COMP3200 - Intro to Artificial Intelligence - Lecture 02 - Agents and Environments
- 3 COMP3200 - Intro to Artificial Intelligence - Lecture 03 - Problem Solving + Search
- 4 COMP3200 - Intro to Artificial Intelligence - Lecture 04 - Assignment 1 Tutorial
- 5 COMP3200 - Intro to Artificial Intelligence - Lecture 05 - Heuristic Search + A* Algorithm
- 6 COMP3200 - Intro to Artificial Intelligence - Lecture 06 - Assignment 2
- 7 COMP3200 - Intro to Artificial Intelligence - Lecture 07 - Hash Functions + Hash Tables
- 8 COMP3200 - Intro to Artificial Intelligence - Lecture 08 - Game Theory (Part 1) - Matrix Games
- 9 COMP3200 - Intro to Artificial Intelligence - Lecture 09 - Game Theory (Part 2) - Nash Equilibrium
- 10 COMP3200 - Intro to Artificial Intelligence - Lecture 10 - MiniMax + AlphaBeta + Assignment 3
- 11 COMP3200 - Intro to Artificial Intelligence - Lecture 11 - Evolutionary Computing
- 12 COMP3200 - Intro to Artificial Intelligence - Lecture 12 - Genetic Programming + A4
- 13 COMP3200 - Intro to Artificial Intelligence - Lecture 13 - Intro to Reinforcement Learning
- 14 COMP3200 - Intro to Artificial Intelligence - Lecture 14 - Bandit Algorithm, Action Values/Selection
- 15 COMP3200 - Intro to Artificial Intelligence - Lecture 15 - MDP + Dynamic Programming
- 16 COMP3200 - Intro to Artificial Intelligence - Lecture 16 - Monte Carlo Methods
- 17 COMP3200 - Intro to Artificial Intelligence - Connect 4 Tournament
- 18 COMP3200 - Intro to Artificial Intelligence - Lecture 17 - TD Learning + Assignment 5
- 19 COMP3200 - Intro to Artificial Intelligence - Lecture 18 - Intro to Neural Networks
- 20 COMP3200 - Intro to Artificial Intelligence - Lecture 19 - Deep Neural Networks
