1. 2020
  2. Fleet Control using Coregionalized Gaussian Process Policy Iteration

    Verstraeten, T., Libin, P. & Nowe, A., 8 Jun 2020, (Accepted/In press) the 24th European Conference on Artificial Intelligence (ECAI 2020).

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

  3. 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 paper

  4. 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    Research output: Unpublished contribution to conferenceUnpublished paper

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

    Verstraeten, T., Bargiacchi, E., Libin, P., Helsen, J., Roijers, D. & Nowe, A., 21 Apr 2020, In : Scientific Reports - Nature. 10, 1, 14 p., 6728.

    Research output: Contribution to journalArticle

  6. Toll-based reinforcement learning for efficient equilibria in route choice

    De Oliveira Ramos, G., Castro da Silva, B., Radulescu, R., Bazzan, A. & Nowe, A., 5 Mar 2020, In : The Knowledge Engineering Review. 35, 23 p., e8.

    Research output: Contribution to journalArticle

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

    Radulescu, R., Mannion, P., Zhang, Y., Roijers, D. & Nowe, A., 2020, In : The Knowledge Engineering Review. 35, 21 p., e32.

    Research output: Contribution to journalArticle

  8. An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling

    Grau, I., Sengupta, D., Garcia Lorenzo, M. M. & Nowe, A., 2020, (Accepted/In press) Proceedings of IEEE International Conference on Fuzzy Systems. IEEE

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

  9. Deep reinforcement learning for large-scale epidemic control

    Libin, P., Moonens, A., Verstraeten, T., Perez Sanjines, F. R., Hens, N., Lemey, P. & Nowe, A., 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 paper

  10. Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems

    Jiménez, Y. M., Palacio, J. C. & Nowé, A., 2020, Optimization and Learning - Third International Conference, OLA2020, Cádiz, Spain, February 17-19, 2020, Proceedings. Dorronsoro, B., Ruiz, P., Torre, J. C. D. L., Urda, D. & Talbi, E-G. (eds.). Springer, Vol. 1173. p. 3-12 10 p. (Communications in Computer and Information Science).

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

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