Publications

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H
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.
Ognibene, D., Wu, Y., Lee, K., and Demiris, Y., Hierarchies for embodied action perception, Computational and Robotic Models of the Hierarchical Organization of Behavior, Springer, 2013, p. Chapter–5.
Ognibene, D., Pezzulo, G., and Baldassare, G., How Are Representations Affected by Scene Statistics in an Adaptive Active Vision System?, Epirob 2009, 2009.
Ognibene, D., Pezzulo, G., and Baldassarre, G., How can bottom-up information shape learning of top-down attention-control skills?, Development and Learning (ICDL), 2010 IEEE 9th International Conference on, IEEE, 2010, pp. 231–237.
Mavridis, N., Bourlai, T., and Ognibene, D., The Human-Robot Cloud: Situated collective intelligence on demand, Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on, IEEE, 2012, pp. 360–365.
I
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.
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.
Francès, G., Bai, X., B Cambazoglu, B., and Baeza-Yates, R., Improving the efficiency of multi-site web search engines, Proceedings of the 7th ACM international conference on Web search and data mining, ACM, 2014, pp. 3–12.
Gimenez, O., and Jonsson, A., In Search of the Tractability Boundary of Planning Problems, Proceedings of the 18th International Conference on Automated Planning and Scheduling (ICAPS'08), 2008, pp. 99-106.
Gimenez, O., and Jonsson, A., The Influence of k-Dependence on the Complexity of Planning, Artificial Intelligence, vol. 177-179, 2012, pp. 25-45.
Gimenez, O., and Jonsson, A., The Influence of k-Dependence on the Complexity of Planning, Proceedings of the 19th International Conference on Automated Planning and Scheduling (ICAPS'09), 2009, pp. 138-145.
Ognibene, D., Balkenius, C., and Baldassarre, G., Integrating epistemic action (active vision) and pragmatic action (reaching): a neural architecture for camera-arm robots, From Animals to Animats 10, The tenth International Conference on the SIMULATION OF ADAPTIVE BEHAVIOR (SAB'08), 2008, pp. 220–229.
Jiménez, S., Fernández, F., and Borrajo, D., Integrating Planning, Execution, and Learning to Improve Plan Execution, Computational Intelligence, vol. 29, 2013, pp. 1–36.
Ognibene, D., Mannella, F., Pezzulo, G., and Baldassarre, G., Integrating reinforcement-learning, accumulator models, and motor-primitives to study action selection and reaching in monkeys, Proceedings of the 7th International Conference on Cognitive Modelling-ICCM06, 2006, pp. 214–219.
Amarasinghe, I., Hernández-Leo, D., and Jonsson, A., Intelligent Group Formation in Computer Supported Collaborative Learning Scripts, Proceedings of the 17th IEEE International Conference on Advanced Learning Technologies (ICALT'17), 2017.
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Bonet, B., and Geffner, H., Labeled RTDP: Improving the Convergence of Real-Time Dynamic Programming, Proc. 13th Int. Conf. on Automated Planning & Scheduling (ICAPS-2003), AAAI Press, 2003, pp. 12–31.
Matsubara, T., Gómez, V., and Kappen, H. J., Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models, 30th Conference on Uncertainty in Artificial Intelligence (UAI), 2014.
Dalmau, V., and Jeavons, P., Learnability of Quantified Formulas, EuroCOLT, 1999, pp. 63-78.
Dalmau, V., and Jeavons, P., Learnability of quantified formulas, Theor. Comput. Sci., vol. 306, 2003, pp. 485-511.
Bulatov, A. A., Chen, H., and Dalmau, V., Learnability of Relatively Quantified Generalized Formulas, ALT, 2004, pp. 365-379.
Jonsson, A., Parisot, C., and De Vleeschouwer, C., A Learning Approach to Interactive Browsing of Surveillance Content, Proceedings of the 4th International Conference on Distributed Smart Cameras (ICDSC'10), 2010.
Ognibene, D., Volpi, N. Catenacci, Pezzulo, G., and Baldassarre, G., Learning Epistemic Actions in Model-Free Memory-Free Reinforcement Learning: experiments with a neuro-robotic model, Living Machine 2013, SPRINGER-VERLAG BERLIN, 2013.
Martin, M., and Geffner, H., Learning Generalized Policies from Planning Examples Using Concept Languages, Appl. Intelligence, vol. 20, 2004, pp. 9–19.
Bonet, B., and Geffner, H., Learning in DFS: A Unified Approach to Heuristic Search in Deterministic, Non-Deterministic, Probabilistic, and Game Tree Settings, Proc. Int. Conf. on Automated Planning & Scheduling (ICAPS-06), 2005.
Bulatov, A. A., Chen, H., and Dalmau, V., Learning intersection-closed classes with signatures, Theor. Comput. Sci., vol. 382, 2007, pp. 209-220.

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