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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Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011) (2011).

@article{AAMAS11-barrett, title={Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain}, author={Samuel Barrett and Peter Stone and Sarit Kraus}, booktitle={Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011)}, month={May}, url="http://www.cs.utexas.edu/users/ai-lab?AAMAS11-barrett", year={2011} }