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Fingerprint Dive into the research topics where T.M. Moerland is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 12 Similar Profiles

Research Output

  • 4 Conference contribution
  • 2 Article

Emotion in reinforcement learning agents and robots: A survey

Moerland, T. M., Broekens, J. & Jonker, C. M., 2018, In : Machine Learning. 107, 2, p. 443-480 38 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
  • 23 Citations (Scopus)
    87 Downloads (Pure)

    RRT-CoLearn: Towards kinodynamic planning without numerical trajectory optimization

    Wolfslag, W., Bharatheesha, M., Moerland, T. & Wisse, M., 2018, In : IEEE Robotics and Automation Letters. 3, 3, p. 1655-1662

    Research output: Contribution to journalArticleScientificpeer-review

  • 6 Citations (Scopus)

    Efficient exploration with Double Uncertain Value Networks

    Moerland, T., Broekens, J. & Jonker, C., 2017, Deep Reinforcement Learning Symposium, NIPS 2017. p. 1-17 17 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

    Open Access
    File
  • 12 Downloads (Pure)

    Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning

    Moerland, T. M., Broekens, J. & Jonker, C. M., 2017, SURL 2017: 1st Scaling-Up Reinforcement Learning (SURL) Workshop. p. 1-18 18 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
  • 10 Downloads (Pure)

    Fear and hope emerge from anticipation in model-based reinforcement learning

    Moerland, T., Broekens, J. & Jonker, C., 2016, IJCAI International Joint Conference on Artificial Intelligence. Vol. 2016-January. p. 848-854 7 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • 7 Citations (Scopus)