1. 2017
  2. Extending the Options Model for Reinforcement Learning in POMDPs

    Steckelmacher, D., Vrancx, P. & Nowe, A., 26 Jan 2017. 2 p.

    Research output: Unpublished contribution to conferenceUnpublished abstractResearch

  3. Q-learning algorithm performance for m-machine, n-jobs flow shop scheduling problems to minimize makespan

    Fonseca-Reyna, Y. C., Martínez-Jiménez, Y. & Nowé, A., 1 Jan 2017, In : Investigacion Operacional. 38, 3, p. 281-290 10 p.

    Research output: Contribution to journalArticleResearchpeer-review

  4. Exact and Heuristic Methods for Solving Boolean Games

    De Clercq, S., Bauters, K., Schockaert, S., Mihaylov, M. E., Nowe, A. & De Cock, M., Jan 2017, In : Autonomous Agents and Multi-Agent Systems. 31, 1, p. 66–106 41 p.

    Research output: Contribution to journalArticleResearchpeer-review

  5. Efficient evaluation of influenza mitigation strategies using preventive bandits

    Libin, P., Verstraeten, T., Theys, K., Roijers, D., Vrancx, P. & Nowe, A., 2017, AAMAS 2017: Autonomous Agents and Multiagent Systems . Springer, p. 67-85 ( Lecture Notes in Computer Science; vol. 10643).

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

  6. 2016
  7. Fleet Reinforcement Learning using Dependent Gaussian Processes

    Verstraeten, T., Vrancx, P. & Nowe, A., 9 Dec 2016, 6 p.

    Research output: Other contributionResearch

  8. Poster: Comparative study of EM-MAC and TSCH/orchestra for IoT

    Garcia Algora, C. M., Prieto Lopez, E., Alfonso Reguera, V., Nowe, A. & Steenhaut, K., 22 Nov 2016, 2016 Symposium on Communications and Vehicular Technologies (SCVT). 2016 ed. Mons, Belgium: IEEE, Vol. I. p. 1-6 6 p.

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

  9. On the Upper Bound for the Time to Rendezvous in Multi-hop Cognitive Radio Networks

    Vitalio, A. R., Ortiz Guerra, E., García Algora, C. M., Nowe, A. & Steenhaut, K., 24 Oct 2016, 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD). 2016 ed. Toronto, ON, Canada: IEEE Explore, Vol. I. p. 31-36 7 p. 10.1109/CAMAD.2016.7790326

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

  10. Genomic Variant Classifier Tool

    Grau Garcia, I. D. C., Garcia Lorenzo, M. M., Sengupta, D., Farid, D. D., Manderick, B., Nowe, A., Daneels, D., Bonduelle, M., Croes, D. & Van Dooren, S., 22 Sep 2016, Lecture Notes in Networks and Systems: Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Springer, Vol. 1. p. 453-456

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

  11. Grey-Box Model: An ensemble approach for addressing semi-supervised classification problems

    Grau Garcia, I. D. C., Sengupta, D., Garcia Lorenzo, M. M. & Nowe, A., 12 Sep 2016, BENELEARN 2016. 3 p.

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

  12. Predicting digenic variant effects with DIDA

    Papadimitriou, S., Gazzo, A., Smits, G., Nowé, A. & Lenaerts, T., 3 Sep 2016.

    Research output: Unpublished contribution to conferencePosterResearch

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