Research Post
Developing games is challenging as it requires expertise in programming skills and game design. This process is costly and consumes a great deal of time. In this paper we describe a tool we developed to help decrease this burden: Mechanic Maker. Mechanic Maker is designed to allow users to make 2D games without programming. A user interacts with a machine learning AI agent, which learns game mechanics by demonstration.
Feb 24th 2022
Research Post
Feb 1st 2022
Research Post
Read this research paper, co-authored by Amii Fellow and Canada CIFAR AI Chairs Neil Burch and Michael Bowling: Rethinking formal models of partially observable multiagent decision making
Dec 6th 2021
Research Post
Read this research paper, co-authored by Amii Fellow and Canada CIFAR AI Chairs Neil Burch and Micheal Bowling: Player of Games
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