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codetiger 15 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.
AnotherGoodName 4 hours 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 4 hours 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.
atmanactive 11 hours ago [-]
I remember a game on Steam called Tiny Brains, great couch co-op.
willmarch 2 hours ago [-]
Pretty neat! I'm considering entering some models. How long will you be running these competitions?
codetiger 2 hours ago [-]
The current season is a public beta and ends by end of the month. After that am considering 3 month seasons.
Qworg 2 hours ago [-]
Reminds me of MechMania at UIUC - exciting!
adityamishra241 13 hours ago [-]
This looks fun. How small are the networks you're aiming for?
sitzkrieg 7 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
codetiger 3 hours ago [-]
Each season has a different weight size restrictions. Currently open season is for a full production test.
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.
https://en.wikipedia.org/wiki/Core_War
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"