Re:AlphaGo Zero: Learning from scratch
by hacker_9 on Wednesday October 18, 2017 @02:36PM
(#15501717)
From the paper: "it uses a single neural network, rather
than separate policy and value networks ... it uses a simpler tree search that relies upon this
single neural network to evaluate positions and sample moves, without performing any MonteCarlo
rollouts. To achieve these results, we introduce a new reinforcement learning algorithm that
incorporates lookahead search inside the training loop, resulting in rapid improvement and precise
and stable learning."
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