Proceedings

Online Planning for Ad Hoc Autonomous Agent Teams

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 439-444.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-081

Abstract

We propose a novel online planning algorithm for ad hoc team settings — challenging situations in which an agent must collaborate with unknown teammates without prior coordination. Our approach is based on constructing and solving a series of stage games, and then using biased adaptive play to choose actions. The utility function in each stage game is estimated via Monte-Carlo tree search using the UCT algorithm. We establish analytically the convergence of the algorithm and show that it performs well in a variety of ad hoc team domains.

Feng Wu, Shlomo Zilberstein, and Xiaoping Chen. 2011. Online Planning for Ad Hoc Autonomous Agent Teams. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 439–444. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-081
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