Questions tagged [alphazero]

For questions related to DeepMind's AlphaZero, which is a computer program that can play Go, Chess, and Shogi. AlphaZero achieved, within 24 hours of training, a superhuman level of play in these three games by defeating world-champion programs Stockfish, Elmo, and the 3-day version of AlphaGo Zero. AlphaZero was introduced in "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" (2017) by David Silver et al.

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Why were Chess experts surprised by the AlphaZero's victory against Stockfish?

It was recently brought to my attention that Chess experts took the outcome of this now famous match as something of an upset. See: Chess’s New Best Player Is A Fearless, Swashbuckling Algorithm ...
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3answers
666 views

Does Monte Carlo tree search qualify as machine learning?

To the best of my understanding, the Monte Carlo tree search (MCTS) algorithm is an alternative to minimax for searching a tree of nodes. It works by choosing a move (generally, the one with the ...
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1answer
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What was the average decision speed pf Alpha Zero in the recent Stockfish match?

The match got a lot of press, and I doubt anyone is surprised that Alpha Zero crushed Stockfish. See: AlphaZero Destroys Stockfish in 100 Game Match To me, what's really salient is that "much like ...
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1answer
454 views

How does AlphaZero use its value and policy heads in conjunction?

I have a question about how the value and policy heads are used in AlphaZero (not Alphago Zero), and where the leaf nodes are relative to the root node. Specifically, there seem to be several possible ...