Chapter
An Overview of Stochastic and Extensive Form Games.
23:25 - 30:26 (07:00)
This podcast explains how the concept of stochastic and extensive form games are utilized in machine learning to gain data about an opponent and tweak a strategy.
Clips
The game theoretic strategy is unbeatable but not maximally efficient against opponents.
23:25 - 26:08 (02:43)
Summary
The game theoretic strategy is unbeatable but not maximally efficient against opponents. Tweak your strategy as you gain more data to be more exploitative while remaining close to the game theoretic strategy in zero-sum games.
ChapterAn Overview of Stochastic and Extensive Form Games.
EpisodeTuomas Sandholm: Poker and Game Theory
PodcastLex Fridman Podcast
The podcast discusses the different types of games such as repeated stochastic games, extensive form games, and stochastic games.
26:08 - 27:54 (01:45)
Summary
The podcast discusses the different types of games such as repeated stochastic games, extensive form games, and stochastic games. It explains decision-making processes and how actions can determine the distribution of next games.
ChapterAn Overview of Stochastic and Extensive Form Games.
EpisodeTuomas Sandholm: Poker and Game Theory
PodcastLex Fridman Podcast
The transition from two player zero sum games to two player general sum or even three player zero sum games presents significant conceptual and computational challenges.
27:54 - 30:26 (02:31)
Summary
The transition from two player zero sum games to two player general sum or even three player zero sum games presents significant conceptual and computational challenges. This is due to the complexity of the game trees involved.