RoboCup Challenge offers a set of challenges for intelligent agent researchers using a friendly competition in a dynamic, real-time, multi-agent domain. While RoboCup in general envisions longer range challenges over the next few decades, RoboCup Challenge presents three specific challenges for the next two years: (i) learning of individual agents and teams; (ii) multi-agent team planning and plan-execution in service of teamwork; and (iii) opponent modeling. RoboCup Challenge provides a novel opportunity for machine learning, planning, and multi-agent researchers it not only supplies a concrete domain to evalute their techniques, but also challenges researchers to evolve these techniques to face key constraints fundamental to this domain: real-time, uncertainty, and teamwork.
CITATION STYLE
Kitano, H., Tambe, M., Stone, P., Veloso, M., Coradeschi, S., Osawa, E., … Asada, M. (1997). The RoboCup synthetic agent challenge 97. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 1, pp. 24–29). https://doi.org/10.1007/3-540-64473-3_49
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