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Results: 89
Number of items: 89
  • Open Access
    Schuth, A., Oosterhuis, H., Whiteson, S., & de Rijke, M. (2015). Multileave Gradient Descent for Fast Online Learning to Rank: abstract. 7. Abstract from 14th Dutch-Belgian Information Retrieval Workshop, Amsterdam, Netherlands. https://ilps.science.uva.nl/wp-content/uploads/sites/8/2015/11/DIR2015-proceedings.pdf
  • Open Access
    Shiarlis, K., Messias, J., van Someren, M., Whiteson, S., Kim, J., Vroon, J., Englebienne, G., Truong, K., Evers, V., Pérez-Higueras, N., Pérez-Hurtado, I., Ramon-Vigo, R., Caballero, F., Merino, L., Shen, J., Petridis, S., Pantic, M., Hedman, L., Scherlund, M., ... Michel, H. (2015). TERESA: A Socially Intelligent Semi-autonomous Telepresence System. Paper presented at Workshop on Machine Learning for Social Robotics at ICRA-15.
  • Open Access
    Roijers, D. M., Whiteson, S., & Oliehoek, F. A. (2015). Point-Based Planning for Multi-Objective POMDPs. In Q. Yang, & M. Wooldridge (Eds.), Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence: Buenos Aires, Argentina, 25-31 July 2015 (pp. 1666-1672). AAAI Press. https://www.ijcai.org/Abstract/15/238
  • Schuth, A., Sietsma, F., Whiteson, S., & de Rijke, M. (2014). Optimizing Base Rankers Using Clicks: A Case Study using BM25. In M. de Rijke, T. Kenter, A. P. de Vries, C. X. Zhai, F. de Jong, K. Radinsky, & K. Hofmann (Eds.), Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014: proceedings (pp. 75-87). (Lecture Notes in Computer Science; Vol. 8416). Springer. https://doi.org/10.1007/978-3-319-06028-6_7
  • Schuth, A., Sietsma, F., Whiteson, S., Lefortier, D., & de Rijke, M. (2014). Multileaved Comparisons for Fast Online Evaluation. In J. Li, & X. S. Wang (Eds.), CIKM'14: proceedings of the 2014 ACM International Conference on Information and Knowledge Management: November 3-7, 2014, Shanghai, China (pp. 71-80). ACM. https://doi.org/10.1145/2661829.2661952
  • Li, G., Hung, H., Whiteson, S., & Knox, W. B. (2014). Leveraging Social Networks to Motivate Humans to Train Agents. In A. Lomuscio, P. Scerri, A. Bazzan, & M. Huhns (Eds.), AAMAS '14: proceedings of the 2014 International Conference on Autonomous Agents & Multiagent Systems: May 5-9, 2014, Paris, France (pp. 1571-1572). International Foundation for Autonomous Agents and Multiagent Systems. http://dl.acm.org/citation.cfm?id=2616067
  • Zoghi, M., Whiteson, S., de Rijke, M., & Munos, R. (2014). Relative confidence sampling for efficient on-line ranker evaluation. In WSDM '14: proceedings of the 7th ACM International Conference on Web Search and Data Mining: February 24-28, 2014, New York, New York, USA (pp. 73-82). ACM. https://doi.org/10.1145/2556195.2556256
  • Hofmann, K., Whiteson, S., Schuth, A., & de Rijke, M. (2014). Learning to Rank for Information Retrieval from User Interactions. ACM SIGWEB Newsletter, 2014(Spring), Article 5. https://doi.org/10.1145/2591453.2591458
  • Roijers, D. M., Scharpff, J., Spaan, M. T. J., Oliehoek, F. A., de Weerdt, M., & Whiteson, S. (2014). Bounded Approximations for Linear Multi-Objective Planning under Uncertainty. In S. Chien, M. Do, A. Fern, & W. Ruml (Eds.), ICAPS 2014: Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling (pp. 262-270). AAAI Press. http://www.aaai.org/ocs/index.php/ICAPS/ICAPS14/paper/view/7929/8035
  • van Seijen, H., Whiteson, S., & Kester, L. (2014). Efficient Abstraction Selection in Reinforcement Learning. Computational Intelligence, 30(4), 657-699. https://doi.org/10.1111/coin.12016
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