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Results: 89
Number of items: 89
  • 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
  • Open Access
    Roijers, D. M., Scharpff, J., Spaan, M. T. J., Oliehoek, F. A., De Weerdt, M. M., & Whiteson, S. (2014). Bounded Approximations for Linear Multi-Objective Planning under Uncertainty. BNAIC, 26, 168-169. http://www.cs.kuleuven.be/~joost/DN/bnaic-proceedings/bnaic2014.pdf
  • Open Access
    Bakkes, S., & Whiteson, S. (2014). Design Criteria for Challenge Balancing of Personalised Game Spaces. In T. Barnes, & I. Bogost (Eds.), Proceedings of the 9th International Conference on the Foundations of Digital Games Society for the Advancement of the Science of Digital Games. http://www.fdg2014.org/papers/fdg2014_poster_02.pdf
  • Open Access
    Bakkes, S., & Whiteson, S. (2014). Towards Challenge Balancing for Personalised Game Spaces. In Proceedings of Workshops Colocated with the 9th International Conference on the Foundations of Digital Games Society for the Advancement of the Science of Digital Games. http://www.fdg2014.org/workshops/pcg2014_paper_01.pdf
  • Open Access
    Zoghi, M., Whiteson, S., Munos, R., & de Rijke, M. (2014). Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem. JMLR Workshop and Conference Proceedings, 32, 10-18. http://jmlr.org/proceedings/papers/v32/zoghi14.html
  • Open Access
    Blom, P. M., Bakkes, S., Tan, C. T., Whiteson, S., Roijers, D., Valenti, R., & Gevers, T. (2014). Towards Personalised Gaming via Facial Expression Recognition. In I. Horswill, & A. Jhala (Eds.), Proceedings of the Tenth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2014) (pp. 30-36). AAAI Press. http://www.aaai.org/Press/Proceedings/aiide14.php
  • Open Access
    Li, G., Hung, H., Whiteson, S., & Knox, W. B. (2014). Learning from Human Reward Benefits from Socio-competitive Feedback. In IEEE ICDL-EPIROB 2014: the Fourth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics: October 13-16, 2014, Palazzo Ducale, Genoa, Italy (pp. 93-100). IEEE. https://doi.org/10.1109/DEVLRN.2014.6982960
  • Open Access
    Satsangi, Y., Whiteson, S., & Oliehoek, F. A. (2014). Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection: Extended Version. (IAS technical reports; No. IAS-UVA-14-02). University of Amsterdam.
  • Open Access
    Snel, M., & Whiteson, S. (2014). Learning Potential Functions and their Representations for Multi-Task Reinforcement Learning. Autonomous Agents and Multi-Agent Systems, 28(4), 637-681. https://doi.org/10.1007/s10458-013-9235-z
  • Open Access
    Bakkes, S., Whiteson, S., Li, G., Vişniuc, G. V., Charitos, E., Heijne, N., & Swellengrebel, A. (2014). Challenge Balancing for Personalised Game Spaces. In 2014 IEEE Games Media Entertainment (GEM): 22-24 Oct. 2014 (pp. 10). IEEE. https://doi.org/10.1109/GEM.2014.7047971
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