Resource Administrator A.I. | Polygence

Resource Administrator A.I.

Project by Polygence alum Cesar

a.i

Project's result

Cesar uploaded his AI network to Github.

Look at the code

They started it from zero. Are you ready to level up with us?

Summary

Cesar coded 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.

Daniel

Daniel

Polygence mentor

PhD Doctor of Philosophy

Subjects

Physics

Expertise

Particle colliders, Coding in physics, Dark matter

Check out their profile

Cesar

Cesar

Student

Cesar is a 20 year-old college student from Lima, Peru.

School

Pontificia Universidad Catolica del Peru

Project review

“My experience with Polygence gave me the opportunity to lead a project that was unlike anything I had done before. It was a project that forced me to surpass what I thought were my limits, all while having a mentor who helped me by giving me advice and his honest opinion 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.”