The development team of AlphaGo adopted deep learning technology and used a large amount of Go game records and self-game data to train the program. In the game with Lee Sedol, AlphaGo showed an amazing level and defeated Lee Sedol with a total score of 4 to 1. This is an extremely rare achievement because Go is a very complex game with a very large state space, which humans find very difficult to deal with.
The technical principle behind this victory is that AlphaGo uses a method called "deep reinforcement learning". Deep reinforcement learning is a technology that combines deep learning and reinforcement learning. It allows artificial intelligence programs to learn the best behavior strategies in a specific environment and continuously optimize and adjust lithuania mobile database them. In the development of AlphaGo, deep reinforcement learning was applied to the decision-making process of Go, allowing the program to more accurately predict the opponent's next move and make the best response.
AlphaGo's victory not only proves the application potential of deep learning technology in the field of artificial intelligence, but also inspires more researchers to devote themselves to the research of artificial intelligence. In addition, AlphaGo's success also provides humans with a new way of thinking, that is, how to better interact and collaborate with artificial intelligence to create a better future together.