Projects-Solutions VS Serpent.AI

karan/Projects-Solutions : Solutions to most of the problems in the link above

Projects with solutions — algorithms, data structures, networking, security, databases, etc

And try making some of these projects https://github.com/karan/Projects-Solutions

There's also a handy GitHub repo with project ideas and solutions: https://github.com/karan/Projects-Solutions

If you want to follow along projects as practice, check out resources like https://github.com/karan/Projects-Solutions and https://github.com/practical-tutorials/project-based-learning#python

Start doing projects, my man. Reading (by itself) a million books will not make you a Shakespeare. https://github.com/karan/Projects-Solutions/blob/master/README.md is a simple list - read the descriptions, pick one that you like, start implementing it. Post queries/code review requests here, and up your game.

A: I am. While serpent.ai attempted to get an AI to play Isaac, the project hasn't been updated in years.

You don't need a whole team nowadays. Amazon has services that let you train your own neural nets with a little bit of knowledge. Then there are tools like SerpentAI that let your AI interface with games (don't know if it works with Blizzard games, but it works with Steam).

i cant. is there any way https://github.com/SerpentAI/SerpentAI would work. the game is entirely mouse movements.

Hey! So, I'd like to implement NEAT machine learning to train an agent to play Donkey Kong Country, but there doesn't seem to be much in the way of tutorials/examples for Serpent.AI (like, its weirdly dead given how powerful it seems to be and github page is full of dead links) so I wanted to see if any of you fine folk would recommend for/against its use or that of an alternative. Any other advice also appreciated.

Serpent AI : Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA