Poker Neural Nets Rules
Poker Neural Nets Net
By 2006, after thousands of neural nets, tweaked repeatedly, had played billions of hands, Dahl recruited gifted poker-playing friends to take on his game. It won frequently enough to hold up in a. Poker Cards Recognition using Neural Networks Jan Hrdlickaˇ 1, Miroslav Hlav´acˇ2 1 Introduction This problem of designing an artificial intelligence for playing poker consists of several different task. One of the tasks is automatic cards recognition and identification based on image captured by a video camera.
Anyway, I think I was thinking that including the difference from the average value would help the neural network identify pairs. In retrospect, it should have been able to recognize that simply from the card values, no?
Limit holdem had been done a lot and No Limit was my area of expertise, which is why I chose it. I didn't have that much experience with shortstacking, but I had read pretty much everything there was to read on it and it seemed like a good start because of its simplicity. Little did I know that the profits from shortstacking come from a very few carefully timed moves that are close to impossible for a rules-based bot to emulate (more on that in another post). Eventually I decided to build a no limit heads up bot, which is where my success wound up being.
I didn't mention it in the post, but the key was moving away from rules based to a value based system, where the bot calculated the profitability of its options and decided based on that. It was a lot easier to debug, but there were a whole set of challenges to that too, like estimating your opponent's range.