Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Challenge Papers. Pages 276-282.
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.
@inproceedings{ijcai1999p41,
title = {Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches},
author = {Tambe, Milind and Kaminka, Gal A. and Marsella, Stacy and Muslea, Ion and Raines, Taylor},
booktitle = {Proceedings of the Sixteenth International Joint Conference on
Artificial Intelligence, {IJCAI-99}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Thomas Dean},
pages = {276--282},
year = {1999},
note = {Challenge Papers},
url = {https://ijcai.org/proceedings/1999/41},
}
TY - CPAPER TI - Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches AU - Tambe, Milind AU - Kaminka, Gal A. AU - Marsella, Stacy AU - Muslea, Ion AU - Raines, Taylor T2 - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 PB - International Joint Conferences on Artificial Intelligence PY - 1999 SP - 276 EP - 282 UR - https://ijcai.org/proceedings/1999/41 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: