Projects in Algorithmics �Fall 2022

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https://docs.google.com/forms/d/e/1FAIpQLSftoumtrhGwFTQS5DmvvrQB5Jjq7ma_M2APrytlgz-7g5_46A/viewform

Project: RapidFire - Target moving objects with as few calculations as possible

Team: John Aim, Ulla Braveheart, Max Little.

In the game the enemy moves according to strange paths. We want to learn from few measurements only the location where we want to hit enemy ships. First we want to learn some rules of their movements and later apply that knowledge in taking aim. Note that our ammo also takes time to reach the target, so we want tp predict with high accuracy the location where we should aim so that the enemy ship would meet their destiny at that moment. We want to minimize our wasted ammo and also have to be very fast and efficient in aim. So, we foresee a lot of optimization needs in the task…

Keep observing our progress at URL: github/RapidFire project

Code: RapidFire

Project: Entropy AI

Team: Daniel Würsch, Herman Rull

We did our project with the intention to take part of programming contest CodeCup 2023. This year’s challenge was about developing AI for board game Entropy.

Github: https://github.com/danwue/entropy

Poster: https://kodu.ut.ee/~wursch/Poster.pdf

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