Today, we were introduced to Dr. Laber, a professor at Duke and the head of Laber Labs, a research lab that researches different questions, mainly related to medicine, and uses methods like statistics and reinforcement learning to solve them.
Pictured below is an outreach project where Reinforcement Learning was used to “teach” a computer to play the Laser Cat game.
For the rest of the day, we’ll be working on simulating something called the Monty Hall Problem. Basically, there are 3 doors. Two have something you don’t want and the third has something you do want. You choose one door and another one is eliminated, leaving you to choose to either open your current door or switch to the other remaining one. What we’re doing is building a dataset to see how often you win when you switch doors and if there is a correlation between switching doors and winning.