A Middle Game Search Algorithm Applicable to Low-Cost Personal Computer for Go

A Middle Game Search Algorithm Applicable to Low-Cost Personal Computer for Go

Go Artificial Intellects(AIs) using deep reinforcement learning and neural networks have achieved superhuman performance, but they rely on powerful computing resources. They are not applicable to low-cost personal computer(PC). In our life, most entertainment programs of Go run on the general PC. A...

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Bibliographic Details
Main Authors: Xiali Li, Zhengyu Lv, Song Wang, Zhi Wei, Xiaochuan Zhang, Licheng Wu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Go
search algorithm
MCTS
UCT
hypothesis test
dynamic randomization
Online Access:https://ieeexplore.ieee.org/document/8817933/

Internet

https://ieeexplore.ieee.org/document/8817933/

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