Collaborative plans for complex group action
Artificial Intelligence
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Coordination and adaptation in impromptu teams
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
On partially controlled multi-agent systems
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Autonomous Agents and Multi-Agent Systems
To teach or not to teach?: decision making under uncertainty in ad hoc teams
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Robot coordination with ad-hoc team formation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Empirical evaluation of ad hoc teamwork in the pursuit domain
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Online planning for ad hoc autonomous agent teams
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Intelligent Decision Technologies
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In multiagent team settings, the agents are often given a protocol for coordinating their actions. When such a protocol is not available, agents must engage in ad hoc teamwork to effectively cooperate with one another. A fully general ad hoc team agent needs to be capable of collaborating with a wide range of potential teammates on a varying set of joint tasks. This paper presents a framework for analyzing ad hoc team problems that sheds light on the current state of research and suggests avenues for future research. In addition, this paper shows how previous theoretical results can aid ad hoc agents in a set of testbed domains.