The New solution to Cooperation Strategy in Dribbling Task of RoboCup

DOI

10.2991/iiicec-15.2015.105How to use a DOI?

Keywords

Reinforcement learning; Dribbling; Possession algorithm

Abstract

This paper proposes a solution based on reinforcement learning in the soccer dribbling tasks of RoboCup. The dribbler spares no efforts to keep possession of the ball from beginning to end while adversaries attempt to gain possession. In this paper, the dribbler uses SARSA possession algorithm and the opposite perform traditional strategies respectively. These two kinds of strategies are applied to robots in the environment of 4V3.The results show that by learning many times robots have made great progress in terms of dribbling time.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei-bing Zhang
AU  - Chu-guang Liang
AU  - Gang-cheng Li
PY  - 2015/03
DA  - 2015/03
TI  - The New solution to Cooperation Strategy in Dribbling Task of RoboCup
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 458
EP  - 461
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.105
DO  - 10.2991/iiicec-15.2015.105
ID  - Zhang2015/03
ER  -