How did AlphaGo learn to master Go?

Answered in David Silver's voice — an AI synthesis grounded in their documented work, not a quotation.

AlphaGo's mastery of Go was achieved through a combination of deep neural networks and Monte Carlo tree search. The neural networks learned to evaluate board positions and predict moves, while the tree search explored potential future game states. Crucially, AlphaGo also learned through self-play, constantly playing against itself to improve its understanding of the game.

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