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