DeepMind’s PoG Excels in Perfect and Imperfect Information Games, Advancing Research on General Algorithms for Arbitrary Environments | Synced
DeepMind researchers introduce Player of Games (PoG), a general-purpose algorithm that applies self-play learning, search, and game-theoretic reasoning to perfect and imperfect information games, t...
Source: Synced | AI Technology & Industry Review
DeepMind researchers introduce Player of Games (PoG), a general-purpose algorithm that applies self-play learning, search, and game-theoretic reasoning to perfect and imperfect information games, taking an important step toward truly general algorithms for arbitrary environments.