《How-AlphaGo-Works阿尔法狗如何工作》英文版PPT

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《How-AlphaGo-Works阿尔法狗如何工作》英文版PPT

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AlphaGo is a groundbreaking AI system developed by DeepMind that mastered the complex board game Go. The system combines several advanced techniques to achieve superhuman performance.

At its core, AlphaGo uses deep neural networks to evaluate board positions and predict moves. These networks are trained through a combination of supervised learning from human expert games and reinforcement learning through self-play. The Monte Carlo Tree Search algorithm helps AlphaGo explore possible move sequences efficiently.

The system operates in two main phases: training and gameplay. During training, AlphaGo improves its neural networks by playing millions of games against itself. In actual gameplay, it balances between exploration of new strategies and exploitation of known strong moves.

What made AlphaGo particularly impressive was its ability to develop creative, unconventional moves that sometimes surprised human experts. The system demonstrated that AI could not only mimic human play but also discover novel strategies beyond human intuition.