While at QuantCo, I worked on a function approximation problem with high dimensionality and many discontinuities. I introduce some of our work that tackles these problems using decision trees, neural networks, and more.
I analyze the spectrum of AI programming challenges such as Halite, Battlecode, and Screeps. Additionally I also analyze my own competition I helped build with my team called the Lux AI Challenge.
I share my experiences taking a graduate computer vision course, and discuss why you should take graduate courses, how to succeed/survive in one, tips on deep-learning courses, and tips on enrolling in graduate courses at UCSD.
My Battlecode 2021 Post Mortem. This time however, the post will focus more on general ideas and concepts I found through competingin the annual 1 month AI programming sprint. It will still have the traditional "Battlecode Timeline" and also includes my evaluation of the Battlecode design.