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• By Date • By Publication Type • By Research Category • By Author (Currently at CMU) • By Author (Past and Current CORAL Contributors) •
Patrick Riley and Manuela Veloso. Coaching a Simulated Soccer Team by Opponent Model Recognition . In Proceedings of the Fifth International Conference on Autonomous Agents (Agents-2001), pp. 155–156, 2001.
In multiagent domains with adversarial and cooperative agents, team agents should be adaptive to the current environment and opponent. We introduce an online method to provide the agents with team plans that a ``coach'' agent generates in response to the specific opponents. The coach agent is equipped with a number of pre-defined opponent models. The coach is then able to quickly select between different models online by using a naive Bayes style algorithm, making the planning adaptive to the current adversary. The coach uses a Simple Temporal Network to represent team plans as coordinated movements among the multiple agents and it searches for an opponent-dependent plan for its teammates. This plan is then communicated to the agents, who execute the plan in a distributed fashion. The system is fully implemented in a simulated robotic soccer domain.
@InProceedings{Agents01-CoachingPoster,
author = {Patrick Riley and Manuela Veloso},
title = {Coaching a Simulated Soccer Team by Opponent Model
Recognition },
booktitle = agents2001,
pages = {155--156},
year = 2001,
abstract = {In multiagent domains with adversarial and
cooperative agents, team agents should be adaptive
to the current environment and opponent. We
introduce an online method to provide the agents
with team plans that a ``coach'' agent generates in
response to the specific opponents. The coach agent
is equipped with a number of pre-defined opponent
models. The coach is then able to quickly select
between different models online by using a naive
Bayes style algorithm, making the planning adaptive
to the current adversary. The coach uses a Simple
Temporal Network to represent team plans as
coordinated movements among the multiple agents and
it searches for an opponent-dependent plan for its
teammates. This plan is then communicated to the
agents, who execute the plan in a distributed
fashion. The system is fully implemented in a
simulated robotic soccer domain. },
bib2html_pubtype = {Refereed Conference},
bib2html_rescat = {Coaching,Planning},
bib2html_funding = {NSF,CoABS,ActiveTemplates},
}
Generated by bib2html.pl (written by Patrick Riley ) on Tue Oct 09, 2007 00:00:13
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