Using a small Genetic algorithm to play a card game on AWS lambda.
Vincent was playing a card game against his girlfriend and he kept loosing. So he wanted to train a bot to play on his behalf. This is our story.
We’re using AWS Lambda to get better at a card game named SushiGO. We make a small genetic algorithm in Python that uses AWS Lambda as a backend. The talk consists of these parts:
This talk will discuss an algorithm that we’ve tried to improve in three ways:
We will conclude by discussing whether or not AWS Lambda is suitable for a gridsearch/grid simulation (hint, it’s not meant for this task, but it actually kind of works very well).
I am looking for editors/curators to help with branches of the tree. Please send me an email if you are interested.