1. 2019
  2. Bayesian Anytime m-top Exploration

    Libin, P., Verstraeten, T., Roijers, D. M., Wang, W., Theys, K. & Nowe, A., Nov 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). p. 1422-1428 7 p.

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

  3. Deep Multi-Agent Reinforcement Learning in a Homogeneous Open Population

    Radulescu, R., Legrand, M., Efthymiadis, K., Roijers, D. & Nowe, A., 25 Sep 2019, Artificial Intelligence: 30th Benelux Conference, BNAIC 2018, ‘s-Hertogenbosch, The Netherlands, November 8–9, 2018, Revised Selected Papers. Atzmueller, M. & Duivesteijn, W. (eds.). Springer International Publishing, p. 90-105 (Communications in Computer and Information Science; vol. 1021).

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

  4. Transfer Learning Across Simulated Robots With Different Sensors

    Plisnier, H., Steckelmacher, D., Roijers, D. & Nowe, A., 18 Jul 2019. 6 p.

    Research output: Unpublished contribution to conferenceUnpublished paper

  5. The Actor-Advisor: Policy Gradient With Off-Policy Advice

    Plisnier, H., Steckelmacher, D., Roijers, D. & Nowe, A., 7 Feb 2019. 8 p.

    Research output: Unpublished contribution to conferenceUnpublished paper

  6. Thompson Sampling for m-top Exploration

    Libin, P., Verstraeten, T., Roijers, D., Wang, W., Theys, K. & Nowe, A., 1 Jan 2019.

    Research output: Unpublished contribution to conferencePoster

  7. Dynamic weights in multi-objective deep reinforcement learning

    Abels, A., Roijers, D. M., Lenaerts, T., Nowe, A. & Steckelmacher, D., 2019, 36th International Conference on Machine Learning, ICML 2019 . International Machine Learning Society (IMLS), Vol. 97. p. 11-20 (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  8. Equilibria in Multi-Objective Games: a Utility-Based Perspective

    Radulescu, R., Mannion, P., Roijers, D. & Nowe, A., 2019, Proceedings of the Adaptive and Learning Agents Workshop 2019 (ALA-19) at AAMAS. 9 p.

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

  9. 2018
  10. Deep Multi-Agent Reinforcement Learning in a Homogeneous Open Population

    Radulescu, R., Legrand, M., Efthymiadis, K., Roijers, D. & Nowe, A., 8 Nov 2018, Proceedings of the 30th Benelux Conference on Artificial Intelligence. Benelux Association for Artificial Intelligence (BNVKI-AIABN), p. 177-191

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

  11. Directed Policy Gradient for Safe Reinforcement Learning with Human Advice

    Plisnier, H., Steckelmacher, D., Brys, T., Roijers, D. & Nowe, A., 3 Oct 2018.

    Research output: Unpublished contribution to conferenceUnpublished paper

  12. Directed Policy Gradient for Safe Reinforcement Learning with Human Advice

    Plisnier, H., Steckelmacher, D., Brys, T., Roijers, D. & Nowe, A., 3 Oct 2018.

    Research output: Unpublished contribution to conferencePoster

ID: 26429967