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Pruning Stochastic Game Trees Using Neural Networks for Reduced Action Space Approximation

Monte Carlo Tree Search has proved to be very efficient in the broad domain of Game AI, though it suffers from high dimensionality in cases of large branching factors. Several pruning techniques have been proposed to tackle this problem, most of which require explicit domain knowledge. In this study...

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Principais autores: Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-05-01
Serier:Mathematics
Fag:
Monte Carlo Tree Search
pruning
neural networks
multi-armed bandit
Upper Confidence Bound
Hearthstone
Online adgang:https://www.mdpi.com/2227-7390/10/9/1509
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