CS3243

AI Poker Project


The Rake

Rake in the cash with the #1 poker agent - combining adversarial search, novel machine learning algorithms, robust heuristics, and techniques in reinforcement learning to achieve high returns.

We propose an effective poker AI agent, utilising novel algorithms combined with state-of-the-art techniques to achieve desirable results given a constrained environment. Several attractive properties of our agent include low regret and high returns, with excellent practical capabilities and theoretical guarantees.


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