This paper casts coordination of a team of robots within the framework of game theoretic learning algorithms. In particular a novel variant of fictitious play is proposed, by considering multi-model adaptive filters as a method to estimate other players’ strategies. The proposed algorithm can be used as a coordination mechanism between players when they should take decisions under uncertainty. Each player chooses an action after taking into account the actions of the other players and also the uncertainty. Uncertainty can occur either in terms of noisy observations or various types of other players. In addition, in contrast to other game-theoretic and heuristic algorithms for distributed optimisation, it is not necessary to find the optimal parameters a priori. Various parameter values can be used initially as inputs to different models. Therefore, the resulting decisions will be aggregate results of all the parameter values. Simulations are used to test the performance of the proposed methodology against other game-theoretic learning algorithms.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters



    Erscheinungsdatum :

    2021-01-01


    Anmerkungen:

    Smyrnakis , M , Qu , H , Bauso , D & Veres , S 2021 , On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters . in A P Rocha , L Steels & J van den Herik (eds) , Agents and Artificial Intelligence - 12th International Conference, ICAART 2020, Revised Selected Papers . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 12613 LNAI , Springer Science and Business Media Deutschland GmbH , pp. 73-105 , 12th International Conference on Agents and Artificial Intelligence, ICAART 2020 , Valletta , Malta , 22/02/2020 . https://doi.org/10.1007/978-3-030-71158-0_4



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Game Theoretic Analysis of Adaptive Radar Jamming

    Bachmann, D J / Evans, R J / Moran, B | IEEE | 2011


    A multimodal multi-provider market equilibrium model: A game-theoretic approach

    Najmi, Ali / Rashidi, Taha H. / Waller, Travis | Elsevier | 2022


    GSFM: The Game-Theoretic Social Force Model

    Johora, Fatema Tuj | Springer Verlag | 2022


    Multi-Fleet Platoon Matching: A Game-Theoretic Approach

    Johansson, Alexander / Nekouei, Ehsan / Johansson, Karl Henrik et al. | IEEE | 2018