An improved Q-learning algorithm using synthetic pheromones

N. Monekosso, P. Remagnino, A. Szarowicz

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Original languageEnglish
    Title of host publicationRevised version published as: Monekosso, Ndedi, Remagnino, Paolo and Szarowicz, Adam (2002) An improved Q-learning algorithm using synthetic pheromones. In: Dunin-Keplicz, Barbara and Nawarecki, Edward, (eds.) From theory to practice in multi-agent systems. Berlin, Germany; London, UK : Springer. pp. 197-206. (Lecture notes in computer science, no. 2296) ISSN (print) 0302-9743 ISBN 3540433708.
    Publication statusPublished - 2001

    Bibliographical note

    Note: Revised version published as: Monekosso, Ndedi, Remagnino, Paolo and Szarowicz, Adam (2002) An improved Q-learning algorithm using synthetic pheromones. In: Dunin-Keplicz, Barbara and Nawarecki, Edward, (eds.) From theory to practice in multi-agent systems. Berlin, Germany; London, UK : Springer. pp. 197-206. (Lecture notes in computer science, no. 2296) ISSN (print) 0302-9743 ISBN 3540433708.

    Keywords

    • Computer science and informatics
    • ant
    • communication
    • coordination
    • decision-making
    • forage
    • machine learning
    • multi-agents
    • pheromones

    Cite this