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@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},
}