Tic Tac Toe
Tic-tac-toe, despite its apparent simplicity, serves as a valuable testbed for exploring advanced artificial intelligence techniques. Current research focuses on developing generalized algorithms, applicable to larger board sizes than the traditional 3x3 grid, often employing reinforcement learning and approximation methods like singular value decomposition to optimize strategy and reduce computational complexity. These studies contribute to a broader understanding of efficient game-playing algorithms and information compression, with potential applications extending to more complex games and even novel hardware-based AI systems like those using single-pixel imaging.
Papers
November 10, 2024
December 23, 2022
July 13, 2022
July 6, 2022