Development of Agent Predicting Werewolf with Deep Learning

2019
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Authors: Manami Kondoh; Keinosuke Matsumoto; Naoki Mori
Published in: Distributed Computing and Artificial Intelligence, 15th International Conference
Publisher: Springer International Publishing

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Abstract

In recent years, the development of AI that plays Werewolf attracts attention. This study researches on Werewolf, which is an incomplete information game. In order to create a good game agent, we tried to get unknown information that makes us advantageous in the game. Since Werewolf is communication game, we assumed that there are common strategies or features. For learning such something from enormous game logs, we proposed using LSTM that is a kind of deep learning.

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Title: Development of Agent Predicting Werewolf with Deep Learning
Authors: Manami Kondoh
Keinosuke Matsumoto
Naoki Mori
Publisher: Springer International Publishing
Book: Distributed Computing and Artificial Intelligence, 15th International Conference
Print ISBN: 978-3-319-94648-1

Electronic ISBN: 978-3-319-94649-8

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-319-94649-8_3

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