Publications

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Author Title Type [ Year(Asc)]
2017
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.
Lipovetzky, N., and Geffner, H., Best-first Width Search: Exploration and Exploitation in Classical Planning, Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), 2017.
Kominis, F., and Geffner, H., Multiagent Online Planning with Nested Beliefs and Dialogue, Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS'17), 2017.
Lipovetzky, N., and Geffner, H., A Polynomial Planning Algorithm that Beats LAMA and FF, Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS'17), 2017.
Dalmau, V., Kozik, M., Krokhin, A., Makarychev, K., Makarychev, Y., and Oprsal, J., Robust Algorithms with Polynomial Loss for Near-unanimity CSPs, Proceedings of the 28th ACM-SIAM Symposium on Discrete Algorithms (SODA'17), 2017, pp. 340-357.
Aragón, P., Gómez, V., and Kaltenbrunner, A., To Thread or Not to Thread: The Impact of Conversation Threading on Online Discussion, 11th International AAAI Conference on Web and Social Media, The AAAI Press, 2017.
Amarasinghe, I., Hernández-Leo, D., and Jonsson, A., Towards Data-Informed Group Formation Support Across Learning Spaces, Proceedings of the 2nd International Workshop on Learning Analytics Across Physical and Digital Spaces (Cross-LAK'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.
2016
Lotinac, D., Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Automatic Generation of High-Level State Features for Generalized Planning, Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
Lotinac, D., and Jonsson, A., Constructing Hierarchical Task Models Using Invariance Analysis, Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI'16), 2016.
Gómez, V., Azar, M. Gheshlaghi, and Kappen, H. J., Correcting Multivariate Auto-Regressive Models for the Influence of Unobserved Common Input, Artificial Intelligence Research and Development - Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, Barcelona, Catalonia, Spain, October 19-21, 2016, 2016, pp. 177–186.
Nunes, C., Jonsson, A., Camara, O., and Bijnens, B., A Decision Tree Approach for Imprecise Data, Proceedings of the 11th Women in Machine Learning Workshop (WiML'16), 2016.
Ma, J., Le, F., Russo, A., and Lobo, J., Declarative Framework for Specification, Simulation and Analysis of Distributed Applications, IEEE Transactions on Knowledge and Data Engineering, vol. 28, 2016, pp. 1489–1502.
Chen, H., and Dalmau, V., Decomposing Quantified Conjunctive (or Disjunctive) Formulas, SIAM J. Comput., vol. 45, 2016, pp. 2066-2086.
Bodirsky, M., Dalmau, V., Martin, B., Mottet, A., and Pinsker, M., Distance Constraint Satisfaction Problems, Inf. Comput., vol. 247, 2016, pp. 87-105.
Francès, G., and Geffner, H., Effective Planning with More Expressive Languages, Proc. 25th Int. Joint Conf. on Artificial Intelligence, 2016.
Francès, G., and Geffner, H., E-STRIPS: Existential Quantification in Planning and Constraint Satisfaction, Proc. 25th Int. Joint Conf. on Artificial Intelligence, 2016.
Bonet, B., and Geffner, H., Factored Probabilistic Belief Tracking, Proc. 25th Int. Joint Conf. on Artificial Intelligence, 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.
Jonsson, A., and Gómez, V., Hierarchical Linearly-Solvable Markov Decision Problems, Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS'16), 2016.
Neu, G., and Bartók, G., Importance weighting without importance weights: An efficient algorithm for combinatorial semi-bandits, Journal of Machine Learning Research, vol. 17, 2016, pp. 1-21.
Aragón, P., Gómez, V., and Kaltenbrunner, A., Measuring Platform Effects in Digital Democracy, The Internet, Policy & Politics Conference (IPPC), 2016. measuring-platform-effects.pdf (891.2 KB)
Kocák, T., Neu, G., and Valko, M., Online learning with Erdős-Rényi side-observation graphs, Uncertainty in Artificial Intelligence, 2016, pp. 339–347.
Kocák, T., Neu, G., and Valko, M., Online learning with noisy side observations, International Conference on Artificial Intelligence and Statistics, 2016, pp. 1186–1194.

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