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Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain.
Samuel
Barrett, Peter Stone, and Sarit
Kraus.
In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2011.
[PDF]361.8kB [postscript]11.4MB [slides.pdf]616.4kB
The concept of creating autonomous agents capable of exhibiting ad hoc teamwork was recently introduced as a challenge to the AI, and specifically to the multiagent systems community. An agent capable of ad hoc teamwork is one that can effectively cooperate with multiple potential teammates on a set of collaborative tasks. Previous research has investigated theoretically optimal ad hoc teamwork strategies in restrictive settings. This paper presents the first empirical study of ad hoc teamwork in a more open, complex teamwork domain. Specifically, we evaluate a range of effective algorithms for on-line behavior generation on the part of a single ad hoc team agent that must collaborate with a range of possible teammates in the pursuit domain.
@InProceedings{AAMAS11-barrett,
author = {Samuel Barrett and Peter Stone and Sarit Kraus},
title = {Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain},
booktitle = {Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS)},
location = {Taipei, Taiwan},
month = {May},
year = {2011},
abstract = {
The concept of creating autonomous agents capable of exhibiting
ad hoc teamwork was recently introduced as a challenge to the
AI, and specifically to the multiagent systems community. An agent capable
of ad hoc teamwork is one that can effectively cooperate with multiple
potential teammates on a set of collaborative
tasks. Previous research has investigated theoretically optimal ad
hoc teamwork strategies in restrictive settings. This paper
presents the first empirical study of ad hoc teamwork in a more
open, complex teamwork domain. Specifically, we evaluate a range of
effective algorithms for on-line behavior generation on the part of a
single ad hoc team agent that must collaborate with a range of possible
teammates in the pursuit domain.
},
}
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