#Poker

Explore the scientific strategies behind successful gambling, from sports forecasting to AI poker players. Learn how betting has influenced mathematics, economics, and artificial intelligence.

Explores ReBeL, an AI framework combining reinforcement learning and search for imperfect-information games. Explains its application to poker, convergence to Nash equilibrium, and superhuman performance with minimal domain knowledge.

Explore a groundbreaking AI algorithm that excels in both perfect and imperfect information games, unifying approaches for chess, Go, poker, and more through guided search, self-play learning, and game theory.

Explore the rise and fall of PokerSource, an open-source online poker system, and learn valuable lessons for FOSS projects competing against proprietary technologies in interactive online systems.

Explore advanced AI techniques in imperfect-information games, focusing on self-play algorithms and their applications in poker and beyond.

Explore AI breakthroughs in games like poker, Go, and Diplomacy. Discover the crucial role of search/planning algorithms and their potential applications in improving machine learning models.