Publications

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S
Santamaría, G., and Gómez, V., Convex inference for community discovery in signed networks, NIPS 2015 Workshop: Networks in the Social and Information Sciences, 2015.
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.
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.
T
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.
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.
V
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)
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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