NeurIPS Best Paper: Safe and Nested Subgame Solving for Imperfect-Information Games with Tuomas Sandholm

EPISODE 99
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Banner Image: Tuomas Sandholm - Podcast Interview
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About this Episode

In this episode, I speak with Tuomas Sandholm, Carnegie Mellon University Professor and, along with his PhD student Noam Brown, winner of a 2017 NIPS Best Paper award for the paper "Safe and Nested Subgame Solving for Imperfect-Information Games."

Tuomas and I dig into the significance of the paper, including a breakdown of perfect vs imperfect information games, the role of abstractions in game solving, and how the concept of safety applies to gameplay. We discuss how all these elements and techniques are applied to poker, and how the algorithm described in this paper was used by Noam and Tuomas to create Libratus, the first AI to beat top human pros in No Limit Texas Hold'em, a particularly difficult game to beat due to its large state space. This was a fascinating interview that I'm really excited to share with you all. Enjoy!

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