1. 2020
  2. Thompson Sampling for Factored Multi-Agent Bandits: Extended Abstract

    Verstraeten, T., Bargiacchi, E., Libin, P., Roijers, D. & Nowe, A., 31 May 2020, Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems. 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  3. Thompson Sampling for Loosely-Coupled Multi-Agent Systems: An Application to Wind Farm Control

    Verstraeten, T., Bargiacchi, E., Libin, P., Roijers, D. & Nowe, A., 9 May 2020, (Accepted/In press). 9 p.

    Research output: Unpublished contribution to conferenceUnpublished paper

  4. A Utility-Based Analysis of Equilibria in Multi-Objective Normal Form Games

    Radulescu, R., Mannion, P., Zhang, Y., Roijers, D. & Nowe, A., 25 Mar 2020, (Accepted/In press) In : The Knowledge Engineering Review.

    Research output: Contribution to journalArticle

  5. Opponent Modelling using Policy Reconstruction for Multi-Objective Normal Form Games

    Zhang, Y., Radulescu, R., Mannion, P., Roijers, D. & Nowe, A., 25 Mar 2020, (Accepted/In press) Proceedings of the Adaptive and Learning Agents Workshop 2020 (ALA2020) at AAMAS. 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  6. Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighborhood Structures

    Verstraeten, T., Bargiacchi, E., Libin, P., Helsen, J., Roijers, D. & Nowe, A., 20 Mar 2020, (Accepted/In press) In : Scientific Reports - Nature. 14 p.

    Research output: Contribution to journalArticle

  7. Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey: JAAMAS Track

    Radulescu, R., Mannion, P., Roijers, D. & Nowe, A., 1 Mar 2020, (Accepted/In press) Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020 . IFAAMAS

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  8. Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games: Extended Abstract

    Zhang, Y., Radulescu, R., Mannion, P., Roijers, D. & Nowe, A., 3 Feb 2020, (Accepted/In press) Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020. IFAAMAS

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  9. Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics

    Steckelmacher, D., Plisnier, H., Roijers, D. & Nowe, A., 2020, Lecture Notes in Artificial Intelligence: Machine Learning and Knowledge Discovery in Databases (ECML-PKDD proceedings), volume III. Springer, Vol. 11908. 16 p. 48. (Lecture Notes in Artificial Intelligence; vol. 11908).

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  10. 2019
  11. Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey

    Radulescu, R., Mannion, P., Roijers, D. & Nowe, A., 9 Dec 2019, In : Autonomous Agents and Multi-Agent Systems. 34, 1, 52 p., 10.

    Research output: Contribution to journalArticle

  12. Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors

    Plisnier, H., Steckelmacher, D., Roijers, D. & Nowe, A., 6 Nov 2019, Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019). CEUR Workshop Proceedings, Vol. 2491. 16 p. 11. (CEUR Workshop Proceedings; vol. 2491, no. 11).

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

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