Learning and Advanced Game AI

COGS-4430

In this course students will explore machine learning techniques to automate the design process of digital games. The course will provide hands-on experience using topics such as Decision Trees, Neural Networks, Genetic Algorithms, and Reinforcement Learning. The course will also introduce psychological theories about peoples' decision-making and emotional processes and how they relate to players' experience in games. The course will consist of a combination of lectures, presentations by students, class discussions, and independent study.

4 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
2023
2022
Learning & Advanced Game Ai (4c)
  • Mei Si
Seats Taken: 8/19
2021
2020
Learning & Advanced Game Ai (4c)
  • Mei Si
Seats Taken: 10/15
2019
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