SDS 569: A.I. For Crushing Humans at Poker and Board Games — with Noam Brown

Topics covered
Popular Clips
Episode Highlights
Modeling Games
Noam Brown's work in AI modeling for games like poker and diplomacy highlights the importance of understanding human behavior. He emphasizes the need for data to model human actions effectively, allowing AI to adapt to different styles and contexts 1. This adaptability is crucial as AI competes against top human players, leading to significant shifts in professional gaming careers. Brown notes, "A lot of when we were doing this competition, we made this AI. We played it against these top professional poker players. And at the end of the competition, they were coming to me for career advice because they are realizing, like, oh, you know, our days are numbered as professional poker players."
A lot of when we were doing this competition, we made this AI. We played it against these top professional poker players. And at the end of the competition, they were coming to me for career advice because they are realizing, like, oh, you know, our days are numbered as professional poker players.
---
Brown also shares insights from his research on negotiation, highlighting the importance of understanding human elements beyond rational behavior 2.
Real-World AI
The application of AI modeling techniques extends beyond games to real-world challenges, such as self-driving cars. Brown explains that while games have well-defined environments and outcomes, real-world scenarios are more complex and unpredictable 3. He highlights the potential of AI to model human behavior in various contexts, which is essential for developing AI systems that can collaborate with humans. "The big challenge with self-driving cars is modeling the behavior of other humans on the road," Brown states, emphasizing the need for AI to understand human quirks and conventions.
The big challenge with self-driving cars is modeling the behavior of other humans on the road.
---
Brown's research on cooperative games and imperfect information games aims to bridge the gap between AI and real-world applications, with promising results in areas like diplomacy and card games 4.
Related Episodes

SDS 464: A.I. vs Machine Learning vs Deep Learning — with Jon Krohn
Answers 383 questions
SDS 438: Artificial General Intelligence — with Jon Krohn
Answers 383 questions

SDS 589: Narrative A.I. — with Hilary Mason
Answers 383 questions

SDS 597: A.I. Policy at OpenAI — with Miles Brundage
Answers 383 questions

SDS 503: Deep Reinforcement Learning for Robotics — with Pieter Abbeel
Answers 383 questions

SDS 519: A.I. for Good — with James Hodson
Answers 383 questions
SDS 588: Artificial General Intelligence is Not Nigh
Answers 383 questions

SDS 509: Accelerating Start-up Growth with A.I. Specialists — with Parinaz Sobhani
Answers 383 questions

SDS 529: A.I. Robotics at Home — with Dave Niewinski
Answers 383 questions

SDS 543: Sparking A.I. Innovation — with Nicole Büttner
Answers 383 questions

683: Contextual A.I. for Adapting to Adversaries — with Dr. Matar Haller
Answers 383 questions

691: A.I. Accelerators: Hardware Specialized for Deep Learning — with Ron Diamant
Answers 383 questions

SDS 565: AGI: The Apocalypse Machine — with Jeremie Harris
Answers 383 questions

SDS 445: Conversational A.I. — with Sinan Ozdemir
Answers 383 questions














