Скачать или смотреть Vincent Warmerdam, Bas Harenslak - Winning card games with 1000+ CPUs

Winning card games with 1000+ CPUs
[EuroPython 2018 - Talk - 2018-07-27 - Fintry [PyData]]
[Edinburgh, UK]

By vincent warmerdam, Bas Harenslak

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:


Quick Explanation of the rules of the SushiGo Card Game
Translation of real life to an algorithm
Explain why this problem needs a lot of CPU
Explain why AWS Lambda fits the simulation use-case
How to quickly hack Concurrency in Python
How to deploy lambda very quickly with chalice
Experimentation Results


This talk will discuss an algorithm that we’ve tried to improve in three ways:


Applying simple maths to make the search algorithm better
Throwing lots (lots!) of CPU’s against the problem by leveraging AWS Lambda and python concurrency


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).



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