Chapter
The Power of Neural Nets in Poker AIs
In the latest and greatest poker AIs, neural nets are used heavily for the value function as they are powerful tools in situations where finding features is difficult. Due to the need to reason about beliefs in poker, the way neural nets are used in the game is different from how they are used in chess or Go.
Clips
This podcast discusses how Player-Based achieved human-level and superhuman-level performance on the six-player version of poker, using a technique initially developed and tested on two-player poker.
1:08:22 - 1:10:50 (02:27)
Summary
This podcast discusses how Player-Based achieved human-level and superhuman-level performance on the six-player version of poker, using a technique initially developed and tested on two-player poker. The discussion highlights how this algorithm has enabled the development of more sophisticated and intelligent AI systems.
ChapterThe Power of Neural Nets in Poker AIs
Episode#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation
PodcastLex Fridman Podcast
The latest and greatest poker AIs use neural nets for the value function since finding features for a value function can be difficult.
1:10:50 - 1:17:08 (06:17)
Summary
The latest and greatest poker AIs use neural nets for the value function since finding features for a value function can be difficult. While many of the all-star players from the poker boom are not as good at the game today, neural nets are still incredibly powerful in the creation of AI for poker.