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I'm interested in building a Texas Hold 'Em AI engine in Java. This is a long term project, one in which I plan to invest at least two years. I'm still at college, haven't build anything ambitious yet and wanting to tackle a problem that will hold my interest in the long term. I'm new to the field of AI. From my data structures class at college, I know basic building blocks like BFS and DFS, backtracking, DP, trees, graphs, etc. I'm learning regex, studying for the SCJP and the SCJD and I'll shortly take a (dense) statistics course.
Questions:
-Where do I get started? What books should I pick? What kind of AI do poker playing programs run on? What open source project can I take a page from? Any good AI resources in Java? I'm interested in learning Lisp as well, is Jatha good?
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A very significant milestone was achieved by Pluribus, a robot that was able to beat some of the best poker players in the world in a game of six-player Texas Hold 'em.
We trained the blueprint strategy for Pluribus in eight days on a 64-core server and required less than 512 GB of RAM. No GPUs were used. At typical cloud computing instance rates, it would cost less than $150 to train.
Scientists have developed an AI program which can beat professional poker players at the card game, in what they described as a milestone for artificial intelligence. The AI named Pluribus beat top human professionals while playing six-player, no-limit Texas hold'em poker.
The following may prove useful:
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