codetiger 11 hours ago

15yrs back I participated in "Google Ants AI Challenge 2011", an ai programming competition, hosted by the University of Waterloo, and I ranked #127 (#1 in my country). The competition gave me a huge learning oppurtunity where developers across the world came to a forum and discussed various techniques.

Now, I've built a similar platform to bring back the fun of building a small neural network that can play the game well. Neural Network optimization seems to be much more fun.

Plz share your feedback to improve the platform and add more games.

atmanactive 8 hours ago

I remember a game on Steam called Tiny Brains, great couch co-op.

AnotherGoodName an hour ago

Nice. I was 72nd. Working in AI research today and still making ai for games as a hobby (tfmbot.com is an ai i’m working on for my favourite board game terraforming mars).

codetiger an hour ago

Thanks for sharing. I remember #1 xathis had a score, big leap ahead of others. The difference in techniques in top 100 was almost the same.

adityamishra241 9 hours ago

This looks fun. How small are the networks you're aiming for?

sitzkrieg 3 hours ago

the network size brackets are in TFA:

    nano up to 16 KiB
    micro up to 128 KiB 
    mini up to 1 MiB 
    small up to 8 MiB 
    large up to 64 MiB

lokar an hour ago

See also:

https://en.wikipedia.org/wiki/Core_War

cheschire an hour ago

Also: https://screeps.com/

codetiger 37 minutes ago

Thanks for sharing. The primary reason building this website is to learn small neural networks and tuning.

lostdog 2 hours ago

Cool idea!

It would help to delete all the text on the page, and write it without AI.

For example, "model and manifest bytes together pick the class; every version also plays on Open"

codetiger 41 minutes ago

Thanks for the feedback. I’ll take that as top priority.