Superhuman AI for Multiplayer Poker

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Presented by

Hansa Halim, Sanjana Rajendra Naik, Samka Marfua, Shawrupa Proshasty

Introduction

In the past two decades, most of the superhuman AI that were built can only beat human players in two-player zero-sum games. More specifically, in the game of poker we only have AI models that can beat them in two-player settings. Poker is a great challenge in AI and game theory because it captures the challenges in hidden information so elegantly. This means that developing a superhuman AI in multiplayer poker is the remaining great milestone in this field. In this paper, the AI whom we call Pluribus, is capable of defeating human professional poker players in Texas hold'em poker which is a six-player poker game and is the most commonly played format in the world.

Previous Work

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Layer for Processing Missing Data

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Theoretical Analysis

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Experimental Results

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Discussion

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Conclusion

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Critiques

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References

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