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Team formation with learning agents that improve coordination

Published: 05 May 2014 Publication History

Abstract

Learning agents increase their team's performance by learning to coordinate better with their teammates, and we are interested in forming teams that contain such learning agents. In particular, we consider finite training instances for learning agents to improve their coordination before the final team is formed. We formally define the learning agents team formation problem, and focus on learning agent pairs that improve their coordination. Learning agent pairs have heterogeneous rates of improving coordination, and hence the allocation of training instances has a large impact on the performance of the final team.

References

[1]
N. Agmon and P. Stone. Leading Ad Hoc Agents in Joint Action Settings with Multiple Teammates. In Proc. Int. Conf. Autonomous Agents and Multiagent Systems, pages 341--348, 2012.
[2]
S. Barrett, P. Stone, and S. Kraus. Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain. In Proc. Int. Conf. Autonomous Agents and Multiagent Systems, pages 567--574, 2011.
[3]
S. Liemhetcharat and M. Veloso. Modeling and Learning Synergy for Team Formation with Heterogeneous Agents. In Proc. Int. Conf. Autonomous Agents and Multiagent Systems, pages 365--375, 2012.

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  1. Team formation with learning agents that improve coordination

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    cover image ACM Other conferences
    AAMAS '14: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems
    May 2014
    1774 pages
    ISBN:9781450327381

    Sponsors

    • IFAAMAS

    In-Cooperation

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    International Foundation for Autonomous Agents and Multiagent Systems

    Richland, SC

    Publication History

    Published: 05 May 2014

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    Author Tags

    1. ad hoc agent
    2. learning agent
    3. team formation

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    AAMAS '14 Paper Acceptance Rate 169 of 709 submissions, 24%;
    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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