New Method Applies Monte Carlo Neural Fictitious Self-Play to Texas Hold'em

Retrieved on: 2019-03-26 23:00:00

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Emerging technologies

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Machine learning

Game theory

DeepMind

Reinforcement learning

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New Method Applies Monte Carlo Neural Fictitious Self-Play to Texas Hold'em. View article details on hiswai:

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<div>In May 2017 DeepMind's <b>AlphaGo</b> Master dispatched the world's top Go player Ke ... They evaluated the method in the <b>zero</b>-sum board game Othello, ...</div>

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