Spencer Seeger
I am a software engineer for Google. Even though I code a lot at work, I can hardly get enough of it. This site shows all of my different adventures into the wonderful world of coding. I try learning everything, from AI to Graphics!
Recent Projects
Travelling Sales Person (TSP)
I implemented a few (altough not very optimal) ways to try and solve the travelling salesperson problem (TSP). You can see how they all perform in comparison to each other.
Tic Tac Toe with Q Learning
Q Learning is a reinforcement learning method to learn the values of state action pairs. This allows the AI to find the best action given a state and to use that state. I implemented this to make an amazing Tic Tac Toe player. See if you can beat it!
Demo: Autoencoder
This autoencoder projects uses the handwritten number dataset to create a model from. In essesence, it's like ML compression. There's two parts to the model, the Encoder, which reduces an input down to a vector. And a Decoder, which takes in input and brings it back to an image. In this case, we can join both of them and use the images as both the input and output. Then, we can try modifying the inputs to the decoder to see what happens!
Demo: Connect 4
A simple connect 4 game but, the AI uses a strategy called Monte Carlo Tree Search. Monte Carlo Tree Search plays a bunch of games by playing different moves. The move games simulated it can better estimate the value of each move. After a certain time frame or certain amount of simulated games, it chooses the best value move to play in the game.
Demo: Simple Weather
