The Texas Hold'em Poker game is a popular problem for both Game Theory and Artificial Intelligence, algorithms like Tree Search, Regret Minimization, Reinforcement Learning and Nerual Networks have been developed to solve poker. Still, Multi-player No-limit Texas Hold'em can hardly be solved in real-time considering its vast combination of possible states and the existence of hidden information. With our innovative solving architecture which combines multi-stage Pre-training, Parallel Sampling, Deep Nerual Networks, Self-playing, Equilibrium Finding, Dynamic Programming, Edge Computing and Reinforcement Learning, we are proud to be the first poker AI that solves poker games in real-time.
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Strategies, Win-rates, Games, Tutorials and more...
Play offline and online poker with robot and human players.
Real-time poker simulation and strategies solving.
Accurate multi-player winrates calculation, and more...
