Resource Administrator A.I.

Daniel
Mentor profile
Daniel
IXL Learning, Science Curriculum Designer
Institute for Defense Analyses, Research Staff Member
Caltech, BS
BS
MIT, PhD
PhD
Project description

This project consisted of coding a Deep Q Network; a network that learns how to play a game designed and coded by the student. The A.I. plays through test iterations of the game by trying different strategies. Through this, it determines which strategy is best to use. The goal of this project was to test the limits of the performance of a Deep Q Network when given the task of administering several resources—all in an environment where random events force it to spend some of those resources.

a.i
Project outcome

A github project.

Check out the project!
Student background

A college student from Peru.

Student review

My experience with Polygence gave me the opportunity to lead a project that was unlike anything I had done before; a project that forced me to surpass what I thought were my limits; all while having a mentor who helped me, and gave me his opinion and advice at every step of my journey. This experience helped me develop not only my CS skills, but also the skills required to truly develop a passion project.

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