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Random Go

by Research Fellow at INRIA on Jun 21, 2012

  • 351 views

Wins against strong humans in the game of Go with random initial positions...

Wins against strong humans in the game of Go with random initial positions


@inproceedings{helmstetter:inria-00625815,
hal_id = {inria-00625815},
url = {http://hal.inria.fr/inria-00625815},
title = {{Random positions in Go}},
author = {Helmstetter, Benard and Lee, Chang-Shing and Teytaud, Fabien and Teytaud, Olivier and Mei-Hui, Wang and Yen, Shi-Jim},
abstract = {{It is known that in chess, random positions are harder to memorize for humans. We here reproduce these experiments in the Asian game of Go, in which computers are much weaker than humans. We survey families of positions, discussing the relative strength of humans and computers, and then experiment random positions. The result is that computers are at the best amateur level for random positions. We also provide a protocol for generating interesting random positions (avoiding unfair situations).}},
language = {Anglais},
affiliation = {Laboratoire d' Informatique Avanc{\'e}e de Saint- Denis - LIASD , Department of Computer Science and Information Engineering - CSIE , Laboratoire de Recherche en Informatique - LRI , TAO - INRIA Saclay - Ile de France , National Dong Hwa University - NDHU},
booktitle = {{Computational Intelligence and Games}},
address = {Seoul, Cor{\'e}e, R{\'e}publique Populaire D{\'e}mocratique De},
audience = {internationale },
year = {2011},
month = Sep,
pdf = {http://hal.inria.fr/inria-00625815/PDF/randomgo.pdf},
}

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