College - Author 1

College of Engineering

Department - Author 1

Computer Science Department

Degree Name - Author 1

BS in Computer Science



Primary Advisor

Franz J. Kurfess, College of Engineering, Computer Science and Software Engineering Department


The purpose of this project is to observe the evolution of two artificial agents, a ‘Seeker’ and a ‘Hider’, as they play a simplified version of the game Hide and Seek. These agents will improve through machine learning, and will only be given an understanding of the rules of the game and the ability to navigate through the grid-like space where the game shall be played; they will not be taught or given any strategies, and will be made to learn from a clean slate. Of particular interest is observing the particular playstyle of hider and seeker intelligences as new elements are introduced into the game, such as obstacles, doors, among other environmental influences. Through this observation, I hope to identify not only key strategies in the game of hide and seek, but to achieve a greater understanding of the evolution of machine learning AI searching and hiding patterns, which are relevant to several fields such as networking, artificial intelligence, and cyber security.