Fingerprint

Dive into the research topics where M.T.J. Spaan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL

    Suau, M., Spaan, M. T. J. & Oliehoek, F. A., 2023, (Accepted/In press) European Reinforcement Learning Workshop.

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

    Open Access
    File
    11 Downloads (Pure)
  • CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration

    Yang, Q. & Spaan, M. T. J., 2023, The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23). 9 p.

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

    Open Access
    File
    22 Downloads (Pure)
  • Reinforcement Learning by Guided Safe Exploration

    Yang, Q., Simão, T. D., Jansen, N., Tindemans, S. H. & Spaan, M. T. J., 2023, ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. Gal, K., Gal, K., Nowe, A., Nalepa, G. J., Fairstein, R. & Radulescu, R. (eds.). p. 2858 - 2865 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 372).

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

    Open Access
    File
    27 Downloads (Pure)
  • Scalable Safe Policy Improvement via Monte Carlo Tree Search

    Castellini, A., Bianchi, F., Zorzi, E., Simão, T. D., Farinelli, A. & Spaan, M. T. J., 2023, In: Proceedings of Machine Learning Research. 202, p. 3732-3756 25 p.

    Research output: Contribution to journalConference articleScientificpeer-review

    Open Access
    File
    11 Downloads (Pure)
  • Abstraction-Refinement for Hierarchical Probabilistic Models

    Junges, S. & Spaan, M. T. J., 2022, Computer Aided Verification - 34th International Conference, CAV 2022, Proceedings. Shoham, S. & Vizel, Y. (eds.). Part 1 ed. Cham: Springer, p. 102-123 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13371 LNCS).

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

    Open Access
    File
    3 Citations (Scopus)
    23 Downloads (Pure)