Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 4
Number of items: 4
  • Open Access
    Höpner, N. R. (2026). Algorithms for knowledge-guided sequential decision-making: Integrating graphs, demonstrations, human and cross-agent experience. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Hoepner, N., Kuric, D., & van Hoof, H. (2025). Making Universal Policies Universal. In Y. Vorobeychik, S. Das, & A. Nowe (Eds.), AAMAS '25: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems : May 19-23, 2025, Detroit, Michigan, USA (pp. 2553-2555). International Foundation for Autonomous Agents and Multiagent Systems. https://doi.org/10.48550/arXiv.2502.14777
  • Open Access
    Hoepner, N., Tiddi, I., & van Hoof, H. (2025). Data Augmentation for Instruction Following Policies via Trajectory Segmentation. In T. Walsh, J. Shah, & Z. Kolter (Eds.), Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence: February 25-March 4, 2025, Philadelphia, Pennsylvania, USA (Vol. 16, pp. 17214-17222). AAAI Press. https://doi.org/10.1609/aaai.v39i16.33892
  • Open Access
    Höpner, N., Tiddi, I., & van Hoof, H. (2022). Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods. In L. De Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence: IJCAI 2022, Vienna, Austria, 23-29 July 2022 (pp. 3050-3056). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/423
Page of