Kurt Driessens (K.)
Dzeroski, S., De Raedt, L., & Driessens, K. (2001). Relational reinforcement learning. Machine Learning, 43(1-2), 7-52. https://doi.org/10.1023/A:1007694015589
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Driessens, K., Ramon, J., & Gaertner, T. (2006). Graph kernels and Gaussian processes for relational reinforcement learning. Machine Learning, 64(1-3), 91-119. https://doi.org/10.1007/s10994-006-8258-y
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Ammar, H. B., Mocanu, D. C., Taylor, M. E., Driessens, K., Tuyls, K., & Weiss, G. (2013). Automatically Mapped Transfer Between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013) (Vol. 8189, pp. 449-464) https://doi.org/10.1007/978-3-642-40991-2_29
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Mocanu, D. C., Bou Ammar, H., Lowet, D., Driessens, K., Liotta, A., Weiss, G., & Tuyls, K. (2015). Factored four way conditional restricted Boltzmann machines for activity recognition. Pattern Recognition Letters, 66, 100-108. https://doi.org/10.1016/j.patrec.2015.01.013
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Lejeune, D., & Driessens, K. (2016). A Data Driven Similarity Measure and Example Mapping Function for General , Unlabelled Data Sets. In Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI'16) (pp. 158-166) https://doi.org/10.3233/978-1-61499-672-9-158
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Kurt Driessens (K.)
Associate Professor
Dept. of Advanced Computing Sciences
Faculty of Science and Engineering