High Precision Function Approximation With Decision Trees and Neural Networks

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.

December 15, 2021 · 22 min · Stone Tao

A Survey of AI Programming Challenges

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.

June 20, 2021 · 15 min · Stone Tao

How to Survive a Graduate Course as an Undergrad

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.

March 22, 2021 · 11 min · Stone Tao

Battlecode 2021 Postmortem

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.

February 21, 2021 · 37 min · Stone Tao