Why AlphaGo is such a big deal?
In this way, AlphaGo is much more radical than Deep Blue. It was by combining those two stages that AlphaGo became able to play at such a high level. This ability to replicate intuitive pattern recognition is a big deal. It’s also part of a broader trend.
Is AlphaGo a neural network?
We created AlphaGo, a computer program that combines advanced search tree with deep neural networks. These neural networks take a description of the Go board as an input and process it through a number of different network layers containing millions of neuron-like connections.
Can a human beat AlphaGo zero?
He remains the only human to ever defeat AlphaGo in tournament settings. After three days of self-play using hugely powerful computer systems that let it play games at superhuman speeds, AlphaGo Zero was able to defeat its predecessor 100 games to nil.
What kind of neural network does AlphaGo use?
AlphaGo had two separately trained neural networks: Policy Network and Value Network. DeepMind then fused these two neural networks with MCTS — that is, the program’s “intuition” with its brute force “lookahead” search — in an ingenious way. It used the network that had been trained to predict:
How is the expert policy represented in AlphaGo Zero?
The expert policy and the approximate value function are both represented by deep neural networks. In fact, to increase efficiency, Alpha Zero uses one neural network that takes in the game state and produces both the probabilities over the next move and the approximate state value.
How does the alpha zero neural net work?
The Alpha Zero Neural Net The Alpha Zero algorithm produces better and better expert policies and value functions over time by playing games against itself with accelerated Monte Carlo tree search. The expert policy and the approximate value function are both represented by deep neural networks.
How is AlphaGo Zero a game changer for AI?
AlphaGo Zero is able to achieve all this by employing a novel form of reinforcement learning, in which AlphaGo Zero becomes its own teacher. As explained previously, the system starts off with a single neural network that knows absolutely nothing about the game of Go.