How Science is Taking the Luck out of Gambling
Explore the scientific strategies behind successful gambling, from sports forecasting to AI poker players. Learn how betting has influenced mathematics, economics, and artificial intelligence.
ReBeL - Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
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.
Player of Games - All the Games, One Algorithm!
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.
Analysis of FOSS Gaming Failure - A History of PokerSource and Open Source Online Poker
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.
Self-Play in Artificial Intelligence - Lecture by Noam Brown
Explore advanced AI techniques in imperfect-information games, focusing on self-play algorithms and their applications in poker and beyond.
Parables on the Power of Planning in AI - From Poker to Diplomacy
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.