Publications

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Z
Zimin, A., and Neu, G., Online learning in episodic Markovian decision processes by relative entropy policy search, Advances in Neural Information Processing Systems 26, 2013, pp. 1583–1591.
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Wilhelmi, F., Bellalta, B., Cano, C., and Jonsson, A., Implications of Decentralized Q-learning Resource Allocation in Wireless Networks, Proceedings of the 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC'17), 2017.
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Vidal, V., and Geffner, H., Solving simple planning problems with more inference and no search, Proc. of the 11th Int. Conf. on Principles and Practice of Constraint Programming (CP-05), Springer, 2005.
Vidal, V., and Geffner, H., Branching and Pruning: An Optimal Temporal POCL Planner based on Constraint Programming, Proceedings of 19th Nat. Conf. on Artificial Intelligence (AAAI-04), D. McGuiness and Ferguson, G., AAAI Press/MIT Press, 2004, pp. 570-577. Paper AIJ 2006 (291.11 KB)
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Trigo, P., Jonsson, A., and Coelho, H., Active Learning of Dynamic Bayesian Networks in Markov Decision Processes, Lecture Notes in Artificial Intelligence: Advances in Artificial Intelligence (IBERAMIA'06), 2006, pp. 37-47.
Thalmeier, D., Gómez, V., and Kappen, H. J., Action selection in growing state spaces: control of network structure growth, Journal of Physics A: Mathematical and Theoretical, vol. 50, 2017, p. 034006.
Thalmeier, D., Gómez, V., and Kappen, H. J., Optimal Control of Network Structure Growth, NIPS 2016 Workshop: Advances in Approximate Bayesian Inference, 2016.
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Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Generalized Planning With Procedural Domain Control Knowledge, Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS'16), 2016.
Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Hierarchical Finite State Controllers for Generalized Planning, Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Generating Context-Free Grammars using Classical Planning, Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), 2017.
Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Unsupervised Classification of Planning Instances, Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS'17), 2017.
Segovia-Aguas, J., Ferrer-Mestres, J., and Jonsson, A., Planning with Partially Specified Behaviors, Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence (CCAI'16), 2016.
Santamaría, G., and Gómez, V., Convex inference for community discovery in signed networks, NIPS 2015 Workshop: Networks in the Social and Information Sciences, 2015.
Sani, A., Neu, G., and Lazaric, A., Exploiting easy data in online optimization, Advances in Neural Information Processing Systems 27 (NIPS), 2014, pp. 810-818.
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Rullo, A., Serra, E., Bertino, E., and Lobo, J., Shortfall-Based Optimal Security Provisioning for Internet of Things, Distributed Computing Systems (ICDCS), 2017 IEEE 37th International Conference on, IEEE, 2017, pp. 2585–2586.
Rullo, A., Serra, E., Bertino, E., and Lobo, J., Shortfall-based optimal placement of security resources for mobile IoT scenarios, European Symposium on Research in Computer Security, Springer, 2017, pp. 419–436.
Rintanen, J., Nebel, B., J. Beck, C., and Hansen, E. A., Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, ICAPS 2008, Sydney, Australia, September 14-18, 2008, 2008.
Rega, A., Ognibene, D., Gigliotta, O., and Baldassarre, G., Un sistema robotico occhio-braccio per lo studio dei processi neurali sottostanti a compiti di reaching costruito presso il LARAL, WIVA, 2006.
Rankothge, W., Le, F., Russo, A., and Lobo, J., Optimizing resource allocation for virtualized network functions in a cloud center using genetic algorithms, IEEE Transactions on Network and Service Management, vol. 14, 2017, pp. 343–356.
Rankothge, W., Le, F., Russo, A., and Lobo, J., Experimental results on the use of genetic algorithms for scaling virtualized network functions, Network Function Virtualization and Software Defined Network (NFV-SDN), 2015 IEEE Conference on, IEEE, 2015, pp. 47–53.
Rankothge, W., Le, F., Russo, A., and Lobo, J., Data Modelling for the Evaluation of Virtualized Network Functions Resource Allocation Algorithms, arXiv preprint arXiv:1702.00369, 2017.
Ramírez, M., and Geffner, H., Structural Relaxations by Variable Renaming and their Compilation for Solving MinCostSAT, Proc. 13th Int. Conf. on Principles and Practice of Constraint Programming (CP-07), Springer, 2007, pp. 605-619.
Ramírez, M., and Geffner, H., Goal recognition over POMDPs: Inferring the intention of a POMDP agent, Proceedings of the Twenty-Second international joint conference on Artificial Intelligence-Volume Volume Three, AAAI Press, 2011, pp. 2009–2014.
Rabuñal, J. R., Dorado, J., and Pazos, A., Encyclopedia of Artificial Intelligence (3 Volumes), {IGI} Global, 2009.
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Porco, A., Kaltenbrunner, A., and Gómez, V., Low-rank approximations for predicting voting behaviour, NIPS 2015 Workshop: Networks in the Social and Information Sciences, 2015.

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