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Results: 89
Number of items: 89
  • Open Access
    Li, G., Hung, H., & Whiteson, S. (2015). A Large-Scale Study of Agents Learning from Human Reward. In AAMAS '15: proceedings of the 2015 International Conference on Autonomous Agents & Multiagent Systems : May, 4-8, 2015, Istanbul, Turkey (Vol. 3, pp. 1771-1772). International Foundation for Autonomous Agents and Multiagent Systems. http://www.aamas-conference.org/Proceedings/aamas2015/aamas/p1771.pdf
  • 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
  • Open Access
    Roijers, D. M., Whiteson, S., & Oliehoek, F. A. (2015). Computing Convex Coverage Sets for Faster Multi-Objective Coordination. Journal of Artificial Intelligence Research, 52, 399-443. https://doi.org/10.1613/jair.4550
  • 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
  • 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
  • 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
  • Roijers, D. M., Whiteson, S., & Oliehoek, F. A. (2014). Linear Support for Multi-Objective Coordination Graphs. 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. 1297-1304). International Foundation for Autonomous Agents and Multiagent Systems. http://dl.acm.org/citation.cfm?id=2617454
  • 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
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