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ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League.
Patrick
Riley, Peter Stone, David
McAllester, and Manuela Veloso.
In P.
Stone, T. Balch, and G.
Kraetzschmar, editors, RoboCup-2000: Robot Soccer World Cup IV, Lecture Notes in Artificial Intelligence, Springer
Verlag, Berlin, 2001.
[PDF]114.6kB [postscript]82.2kB
The ATT-CMUnited-2000 simulator team finished in third place at Robocup-2000. It was one of only three teams to finish ahead of the previous year's champion, CMUnited-99. ATT-CMUnited-2000 is based upon CMUnited-99, which in turn is is based on CMUnited-98. In particular, it uses all of the techniques embodied in the previous teams, including: (1) Hierarchical machine learning (Layered learning); (2) Flexible, adaptive formations (Locker-room agreement); (3) Single-channel, low-bandwidth communication; (4) Predictive, locally optimal skills (PLOS); (5) Strategic positioning using attraction and repulsion (SPAR). Our goal in creating ATT-CMUnited-2000 was to investigate new research directions.
@InCollection(LNAI2000-team,
Author = "Patrick Riley and Peter Stone and David McAllester and Manuela Veloso",
Title = "{ATT}-{CMU}nited-2000: Third Place Finisher in the {R}obo{C}up-2000 Simulator League",
booktitle = "{R}obo{C}up-2000: Robot Soccer World Cup {IV}",
Editor = "P. Stone and T. Balch and G. Kraetzschmar",
Publisher = "Springer Verlag",
series="Lecture Notes in Artificial Intelligence",
volume="2019",
address = "Berlin",
year = 2001,
abstract = {
The ATT-CMUnited-2000 simulator team finished in third
place at Robocup-2000. It was one of only three teams
to finish ahead of the previous year's champion,
CMUnited-99.
ATT-CMUnited-2000 is based upon CMUnited-99, which in
turn is is based on CMUnited-98. In particular, it uses
all of the techniques embodied in the previous teams,
including: (1) Hierarchical machine learning (Layered
learning); (2) Flexible, adaptive formations
(Locker-room agreement); (3) Single-channel,
low-bandwidth communication; (4) Predictive, locally
optimal skills (PLOS); (5) Strategic positioning using
attraction and repulsion (SPAR).
Our goal in creating ATT-CMUnited-2000 was to
investigate new research directions.},
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