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Results: 89
Number of items: 89
  • Open Access
    Satsangi, Y. (2019). Active perception for person tracking. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Shiarlis, K. C. (2019). Detaching the strings: Practical algorithms for Learning from Demonstration. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Satsangi, Y., Whiteson, S., Oliehoek, F., & Spaan, M. T. J. (2018). Exploiting Submodular Value Functions for Scaling Up Active Perception. Autonomous Robots, 42(2), 209–233. https://doi.org/10.1007/s10514-017-9666-5
  • Open Access
    Snel, M. (2018). Generalization strategies in reinforcement learning. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Satsangi, Y., Whiteson, S., Oliehoek, F. A., & Bouma, H. (2017). Real-Time Resource Allocation for Tracking Systems. In G. Elidan, & K. Kersting (Eds.), Uncertainty in Artificial Intelligence: proceedings of the Thirty-Third Conference (2017) : 11-15 August 2017, Sydney, Australia Article 130 AUAI Press. http://auai.org/uai2017/proceedings/papers/130.pdf
  • Satsangi, Y., Whiteson, S., & Oliehoek, F. A. (2016). PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection. In S. Kambhampati (Ed.), Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence: New York, NY, USA, 9-15 July, 2016 (Vol. 4, pp. 3220-3227). AAAI Press. https://www.ijcai.org/Abstract/16/456
  • Open Access
    Satsangi, Y., Whiteson, S., & Oliehoek, F. A. (2016). Probably Approximately Correct Greedy Maximization. In J. Thangarajah, K. Tuyls, C. Jonker, & S. Marsella (Eds.), AAMAS'16: proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems : May, 9-13, 2016, Singapore, Singapore (Vol. 2, pp. 1387-1388). International Foundation for Autonomous Agents and Multiagent Systems. http://www.aamas-conference.org/Proceedings/aamas2016/pdfs/p1387.pdf
  • Open Access
    Li, G. (2016). Socially intelligent autonomous agents that learn from human reward. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Li, G., Whiteson, S., Knox, W. B., & Hung, H. (2016). Using Informative Behavior to Increase Engagement While Learning from Human Reward. Autonomous Agents and Multi-Agent Systems, 30(5), 826-848. https://doi.org/10.1007/s10458-015-9308-2
  • Open Access
    Schuth, A., Oosterhuis, H., Whiteson, S., & de Rijke, M. (2016). Multileave Gradient Descent for Fast Online Learning to Rank. In WSDM'16 : proceedings of the Ninth ACM International Conference on Web Search and Data Mining : February 22-25, 2016, San Francisco, CA, USA (pp. 457-466). Association for Computing Machinery. https://doi.org/10.1145/2835776.2835804
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