Search results
Filter results
-
Full text
-
Document type
-
Organisation
Results: 58,358
Number of items: 58,358
-
Levering, N., Boon, M., Mandjes, M., & Núñez Queija, R. (2022). A framework for efficient dynamic routing under stochastically varying conditions. Transportation Research. Part B: Methodological, 160, 97-124. https://doi.org/10.1016/j.trb.2022.04.001 -
Koulouzis, S., Bianchi, R., van der Linde, R., Wang, Y., & Zhao, Z. (2022). SPIRIT: A Microservice-Based Framework for Interactive Cloud Infrastructure Planning. In R. Chaves, D. B. Heras, A. Ilic, & D. Unat (Eds.), Euro-Par 2021: Parallel Processing Workshops: Euro-Par 2021 International Workshops, Lisbon, Portugal, August 30-31, 2021 : revised selected papers (pp. 405-416). (Lecture Notes in Computer Science; Vol. 13098). Springer. https://doi.org/10.1007/978-3-031-06156-1_32 -
Zhang, Y., Zhang, D. W., Lacoste-Julien, S., Burghouts, G. J., & Snoek, C. G. M. (2022). Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. In The Tenth International Conference on Learning Representations: ICLR 2022 https://openreview.net/forum?id=5K7RRqZEjoS -
van Noord, N. (2022). A survey of computational methods for iconic image analysis. Digital Scholarship in the Humanities, 37(4), 1316–1338. https://doi.org/10.1093/llc/fqac003 -
Tang, M., Schäffer, S. A., & Müller, J. H. (2022). Prospects of a superradiant laser based on a thermal or guided beam of 88Sr. Physical Review A, 106(6), Article 063704. https://doi.org/10.1103/PhysRevA.106.063704 -
Mohajeriparizi, M., Sileno, G., & van Engers, T. (2022). Preference-Based Goal Refinement in BDI Agents. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems : May 9-13, 2022, virtual event, New Zealand (Vol. 2, pp. 917-925). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3535850.3535953 -
Zhou, X., Belloum, A., Lees, M. H., van Engers, T., & de Laat, C. (2022). Costly incentives design from an institutional perspective: cooperation, sustainability and affluence. Proceedings of the Royal Society A-Mathematical, Physical and Engineering Sciences, 478(2265), Article 20220393. https://doi.org/10.1098/rspa.2022.0393 -
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 882 of 5836