Browse by Subject.

Results

	16-23 from 23 Results - Artificial Intelligence
16	M.G. Lagoudakis and R. Parr. (2002, Aug.). Value function approximation in zero–sum Markov games. [Online]. Available: http://arxiv.org/ftp/arxiv/papers/1301/1301.0580.pdf	2015-11-13
17	M.G. Lagoudakis and R. Parr, “Approximate policy iteration using large-margin classifiers,” in Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI), 2003, pp. 1432–1434.	2015-11-13
18	S. Volioti and M. G. Lagoudakis, “Histogram-based visual object recognition for the 2007 four-legged robocup league,” in 5th Hellenic Conference on Artificial Intelligence (SETN), 2008, pp. 313–326. doi:10.1007/978-3-540-87881-0_28	2015-11-13
19	J. Pazis and M. G. Lagoudakis, “Binary action search for learning continuous-action control policies,” in 26th International Conference on Machine Learning (ICML), 2009, pp. 793–800. doi:10.1145/1553374.1553476	2015-11-13
20	E. Rachelson and Michail G. Lagoudakis. (2010, Jan.). On the locality of action domination in sequential decision making. Presented at 11th International Symposium on Artificial Intelligence and Mathematics (ISAIM). [Online]. Available: http://www.researchgate.net/profile/Emmanuel_Rachelson/publication/221186156_On_the_locality_of_action_domination_in_sequential_decision_making/links/0fcfd5051c4eaad94f000000.pdf	2015-11-13
21	S.Korokithakis and M. G. Lagoudakis, “Heuristic rule induction for decision making in near-deterministic domains,” in 6th Hellenic Conference on Artificial Intelligence (SETN), 2010, pp. 339–344. doi:10.1007/978-3-642-12842-4_40	2015-11-13
22	M. Rovatsou and M. G. Lagoudakis, “Minimax search and reinforcement learning for adversarial tetris,” in 6th Hellenic Conference on Artificial Intelligence (SETN), 2010, pp.417–422.	2015-11-13
23	I. Rexakis and M. G. Lagoudakis, “Directed policy search using relevance vector machines," in 2012 IEEE Intern. Conf. Tools Artif. Intel. (ICTAI), pp. 25–32. doi:10.1109/ICTAI.2012.13	2015-11-13
Pages: \|1 \| 2 \|[ Show All ]