Jung, T., Wehenkel, L., Ernst, D., & Maes, F. (March 2014). Optimized look-ahead tree policies: a bridge between look-ahead tree policies and direct policy search. International Journal of Adaptive Control and Signal Processing, 28 (3-5), 255-289. doi:10.1002/acs.2387 Peer Reviewed verified by ORBi |
Jung, T., Martin, S., Nassar, M., Ernst, D., & Leduc, G. (February 2013). Outbound SPIT Filter with Optimal Performance Guarantees. Computer Networks, 57 (7), 1630–1643. doi:10.1016/j.comnet.2013.02.013 Peer Reviewed verified by ORBi |
Jung, T., Ernst, D., & Maes, F. (2013). Optimized Look-Ahead Trees: Extensions to Large and Continuous Action Spaces. In Proc. of IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL'13). Peer reviewed |
Jung, T., & Ernst, D. (07 December 2012). Biorthogonalization Techniques for Least Squares Temporal Difference Learning [Poster presentation]. Neural Information Processing Systems (NIPS), South Lake Tahoe, NV, United States. |
Jung, T., Martin, S., Ernst, D., & Leduc, G. (2012). Contextual Multi-armed Bandits for the Prevention of Spam in VoIP Networks. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/115524. |
Jung, T., Martin, S., Ernst, D., & Leduc, G. (2012). SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention. In Proc. of 6th International Conference on Autonomous Infrastructure, Management and Security. Springer Berlin. doi:10.1007/978-3-642-30633-4 Peer reviewed |
Jung, T., Martin, S., Ernst, D., & Leduc, G. (2012). Contextual Multi-armed Bandits for Web Server Defense. In A. Hussein (Ed.), Proceedings of 2012 International Joint Conference on Neural Networks (IJCNN) (pp. 8). IEEE. doi:10.1109/IJCNN.2012.6252760 Peer reviewed |