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Results: 3
Number of items: 3
  • 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
    Kuric, D., Infante, G., Gómez, V., Jonsson, A., & van Hoof, H. (2024). Planning with a Learned Policy Basis to Optimally Solve Complex Tasks. In S. Bernardini, & C. Muise (Eds.), Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling: June 1–6, 2024, Alberta, Canada (pp. 333-341). (ICAPS; Vol. 34). AAAI Press. https://doi.org/10.1609/icaps.v34i1.31492
  • Open Access
    Kuric, D., & van Hoof, H. (2023). Reusable Options through Gradient-based Meta Learning. Transactions on Machine Learning Research, 2023(3), Article 717. https://openreview.net/forum?id=qdDmxzGuzu
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