Chapter

Game Theory and Machine Learning in Poker
This podcast episode features an interview with a game theory and machine learning expert who has published over 450 papers on the subject, including research on applying these concepts to the game of poker. His work has had real-world impact through the development of systems to test and implement his theories.
Clips
Professor Tuomas Sandholm discusses the complexities of poker as an imperfect information game and the impact his research and companies have had in the real world.
00:00 - 02:54 (02:54)
Summary
Professor Tuomas Sandholm discusses the complexities of poker as an imperfect information game and the impact his research and companies have had in the real world.