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Results: 186
Number of items: 186
  • Open Access
    Snel, M. (2018). Generalization strategies in reinforcement learning. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Groen, F. C. A., Pavlin, G., Winterboer, A., & Evers, V. (2017). A hybrid approach to decision making and information fusion: Combining humans and artificial agents. Robotics and Autonomous Systems, 90, 71-85. https://doi.org/10.1016/j.robot.2016.08.009
  • Hertzberger, B., Kanade, T., & Groen, F. (2017). History of the IAS-Society and the IAS-conferences. Robotics and Autonomous Systems, 90, 136-139. https://doi.org/10.1016/j.robot.2016.08.011
  • Open Access
    Li, G. (2016). Socially intelligent autonomous agents that learn from human reward. [Thesis, fully internal, Universiteit van Amsterdam].
  • Fang, M., Groen, F. C. A., Li, H., & Zhang, J. (2014). Collaborative multi-agent reinforcement learning based on a novel coordination tree frame with dynamic partition. Engineering Applications of Artificial Intelligence, 27, 191-198. https://doi.org/10.1016/j.engappai.2013.09.001
  • van Emde Boas, P., Groen, F. C. A., Italiano, G. F., Nawrocki, J., & Sack, H. (2013). SOFSEM 2013: Theory and Practice of Computer Science. (Lecture Notes in Computer Science; Vol. 7741). Springer. https://doi.org/10.1007/978-3-642-35843-2
  • Fang, M., & Groen, F. C. A. (2013). Collaborative multi-agent reinforcement learning based on experience propagation. Journal of Systems Engineering and Electronics, 24(4), 683-689. https://doi.org/10.1109/JSEE.2013.00079
  • Open Access
    Smits, D., Visser, A., & Groen, F. (2013). Modeling pedestrians in an airport scenario with a time-augmented Petri net. Advances in intelligent systems and computing, 194, 543-551. https://doi.org/10.1007/978-3-642-33932-5_50
  • Open Access
    van Emde Boas, P., Groen, F. C. A., Italiano, G. F., Nawrocki, J., & Sack, H. (2013). SOFSEM 2013: Theory and Practice of Computer Science: 39th conference on current trends in theory and practice of computer science: Špindlerův Mlýn, Czech Republic, January 26-31, 2013: proceedings. - Volume II. Institute of Computer Science AS CR.
  • Open Access
    van Gosliga, S. P., & Groen, F. (2013). Estimating the Impact of Variables in Bayesian Belief Networks. In Tenth Tbilisi Symposium on Language, Logic and Computation: Gudauri, Georgia, 23-27 September 2013 (pp. 87-90). Centre for Language, Logic and Speech, and Razmadze Mathematical Institute, Tbilisi State University. https://www.illc.uva.nl/Tbilisi/Tbilisi2013/uploaded_files/inlineitem/4booklet-tbillc2013.pdf
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