Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141012
Title: ATSIS : achieving the ad hoc teamwork by sub-task inference and selection
Authors: Chen, Shuo
Andrejczuk, Ewa
Irissappane, Athirai Aravazhi
Zhang, Jie
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Chen, S., Andrejczuk, E., Irissappane, A. A., & Zhang, J. (2019). ATSIS : achieving the ad hoc teamwork by sub-task inference and selection. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), 172-179. doi:10.24963/ijcai.2019/25
Project: C-RP11
Abstract: In an ad hoc teamwork setting, the team needs to coordinate their activities to perform a task without prior agreement on how to achieve it. The ad hoc agent cannot communicate with its teammates but it can observe their behaviour and plan accordingly. To do so, the existing approaches rely on the teammates' behaviour models. However, the models may not be accurate, which can compromise teamwork. For this reason, we present Ad Hoc Teamwork by Sub-task Inference and Selection (ATSIS) algorithm that uses a sub-task inference without relying on teammates' models. First, the ad hoc agent observes its teammates to infer which sub-tasks they are handling. Based on that, it selects its own sub-task using a partially observable Markov decision process that handles the uncertainty of the sub-task inference. Last, the ad hoc agent uses the Monte Carlo tree search to find the set of actions to perform the sub-task. Our experiments show the benefits of ATSIS for robust teamwork.
URI: https://hdl.handle.net/10356/141012
http://www.ijcai.org
ISBN: 978-0-9992411-4-1
DOI: 10.24963/ijcai.2019/25
Rights: © 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. This paper was published in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) and is made available with permission of International Joint Conferences on Artificial Intelligence.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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