Online Strategy Clustering Based on Action Sequences in RoboCupSoccer Small Size League

This paper addresses a strategy learning problem in the RoboCupSoccer Small Size League (SSL). We propose a novel method based on action sequences to cluster an opponent’s strategies online. Our proposed method is composed of the following three steps: (1) extracting typical actions from g...

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Bibliographic Details
Main Authors: Yusuke Adachi, Masahide Ito, Tadashi Naruse
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Robotics
Subjects:
Online Access:https://www.mdpi.com/2218-6581/8/3/58