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The best way to improve the Snake AI however, is the following code: model.to('cuda:0') add this code right after the definition of 'model(state)'. NOTE: You must have a cuda compatible...

Thanks, looking back at my code, it seems I should have been more focused on the rewarding system, I am seeing if I can do what is called a genetic...

All you have to do is in the agent.py place the following code right after the model init: model.to('cuda:0')

Or you can do for agent.py: Action = self.model(state0.to('cuda:0'))

Sometimes GPUs are meant for graphics strictly, which may hinder them in terms of multiprocessing and calculating each action the neurons will take, it is a fairly uncommon issue.

is it possible that we could compile it directly for linux?

Thank you for the information.

actually, I just fixed it, but I am having issues with the streamer for moves, I can show you my code (I will censor my API tokens and everything though...)

Whoops, I forgot to close the issue.