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  1. Deepmind

    Linked via "Lee Sedol"

    AlphaGo and Game Mastery
    In 2016, DeepMind achieved a significant public milestone with the development of AlphaGo. This system defeated the professional Go player Lee Sedol four games to one. Go, with its vast state space (approximately $10^{170}$ possible board positions), was long considered a grand challenge for AI research, significantly more complex than chess.
    AlphaGo utilized a combination of Monte Carlo Tree Search (MCTS) guided by two deep neural networks: a policy network to suggest promising moves and a *va…