Two fielded teams and two experts: A RoboCup challenge response from the trenches

Milind Tambe, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Taylor Raines

Research output: Contribution to journalConference articlepeer-review

15 Scopus citations

Abstract

The RoboCup (robot world-cup soccer) effort, initiated to stimulate research in multi-agents and robotics, has blossomed into a significant effort of international proportions. RoboCup is simultaneously a fundamental research effort and a set of competitions for testing research ideas. At IJCAI'97, a broad research challenge was issued for the RoboCup synthetic agents, covering areas of multi-agent learning, teamwork and agent modeling. This paper outlines our attack on the entire breadth of the RoboCup research challenge, on all of its categories, in the form of two fielded, contrasting RoboCup teams, and two off-line soccer analysis agents. We compare the teams and the agents to generalize the lessons learned in learning, teamwork and agent modeling.

Original languageEnglish
Pages (from-to)276-281
Number of pages6
JournalIJCAI International Joint Conference on Artificial Intelligence
Volume1
StatePublished - 1999
Externally publishedYes
Event16th International Joint Conference on Artificial Intelligence, IJCAI 1999 - Stockholm, Sweden
Duration: 31 Jul 19996 Aug 1999

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