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Lukasz Pelcner

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  1. 2024
  2. Published

    Incentive-Driven Multi-agent Reinforcement Learning Approach for Commons Dilemmas in Land-Use

    Pelcner, L., do Carmo Alves, M. A., Soriano Marcolino, L., Harrison, P. & Atkinson, P., 16/11/2024, PRIMA 2024: Principles and Practice of Multi-Agent Systems: : 25th International Conference, Kyoto, Japan, November 18–24, 2024, Proceedings. Ariska, R., Sanchez-Anguix, V., Stein, S., Aydoğan, R., van der Torre, L. & Ito, T. (eds.). Cham: Springer, p. 284-289 6 p. (Lecture Notes in Computer Science; vol. 15395).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. 2023
  4. Forthcoming

    Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments: Extended Abstract

    Pelcner, L., do Carmo Alves, M. A., Soriano Marcolino, L., Harrison, P. & Atkinson, P., 21/12/2023, (Accepted/In press) Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. 23 ed. IFAAMAS, 3 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. 2020
  6. Published

    Real-time Learning and Planning in Environments with Swarms: A Hierarchical and a Parameter-based Simulation Approach

    Pelcner, L., Li, S., Do Carmo Alves, M., Soriano Marcolino, L. & Collins, A., 9/05/2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020). ACM, p. 1019–1027 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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