Publications

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Ferrer-Mestres, J., Francès, G., and Geffner, H., Planning with State Constraints and its Application to Combined Task and Motion Planning, PlanRob - Workshop on Planning and Robotics, 25th International Conference on Automated Planning and Scheduling (ICAPS 2015), 2015. ferrer-frances-geffner-planning-state-constraints-combined-task-motion-planning.pdf (3.62 MB)
Bonet, B., and Geffner, H., Policies that Generalize: Solving Many Planning Problems with the Same Policy, Proc IJCAI 2015, 2015.
Gómez, V., Kappen, H. J., Peters, J., and Neumann, G., Policy search for path integral control, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8724 LNAI, 2014, pp. 482-497.
Gómez, V., Kappen, H. J., Peters, J., and Neumann, G., Policy Search for Path Integral Control, Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2014, Nancy, France, September 15-19, 2014. Proceedings, Part {I}, 2014, pp. 482–497.
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.
Atserias, A., Bulatov, A. A., and Dalmau, V., On the Power of ıt k} -Consistency, ICALP, 2007, pp. 279-290.
Devroye, L., Lugosi, G., and Neu, G., Prediction by random-walk perturbation, Proceedings of the 26th Conference on Learning Theory (COLT), 2013.
Pezzulo, G., and Ognibene, D., Proactive action preparation: Seeing action preparation as a continuous and proactive process, Motor control, vol. 16, 2012, pp. 386–424.
Font, O., Francès, G., Jonsson, A., Bartie, P., and Mackaness, W., Probabilistic Activity Recognition in Navigation, Proceedings of the 11th IEEE Workshop on Positioning, Navigation and Communication (WPNC'14), 2014.
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.
R. Murray, C., and McCarthy, P. M., Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, May 18-20, 2011, Palm Beach, Florida, USA, 2011.
Fox, D., and Gomes, C. P., Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008, 2008.
Cate, Bten, and Dalmau, V., The Product Homomorphism Problem and Applications, 18th International Conference on Database Theory (ICDT 2015), 2015.
Palacios, H., Bonet, B., Darwiche, A., and Geffner, H., Pruning Conformant Plans by Counting Models on Compiled d-DNNF Representations, Proc. Int. Conf. on Automated Planning & Scheduling (ICAPS-05), 2005.
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Devroye, L., Lugosi, G., and Neu, G., Random-walk perturbations for online combinatorial optimization, IEEE Transactions on Information Theory, vol. 61, 2015, pp. 4099-4106.
Ferro, M., Ognibene, D., Pezzulo, G., and Pirrelli, V., Reading as active sensing: a computational model of gaze planning in word recognition, Frontiers in neurorobotics, vol. 4, 2010.
Gómez, V., Thijssen, S., Symington, A., Hailes, S., and Kappen, H. J., Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Systems, Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS'16), 2016.
Pasarella, E., and Lobo, J., Reasoning about policy behavior in logic-based trust management systems: Some complexity results and an operational framework, 2015 IEEE 28th Computer Security Foundations Symposium, IEEE, 2015, pp. 232–242.
Ognibene, D., Balkenius, C., and Baldassarre, G., A reinforcement-learning model of top-down attention based on a potential-action map, The Challenge of Anticipation, 2008, pp. 161–184.
Ognibene, D., Pezzulo, G., and Dindo, H., Resources allocation in a Bayesian, schema-based model of distributed action control., NIPS-Workshop on Probabilistic Approaches for Robotics and Control. (Poster) Vancouver, B.C., Canada, December 11, 2009, 2009.
Dalmau, V., Krokhin, A. A., and Larose, B., Retractions onto series-parallel posets, Discrete Mathematics, vol. 308, 2008, pp. 2104-2114.
Jiménez, S., de la Rosa, T., Fernández, S., Fernández, F., and Borrajo, D., A review of machine learning for automated planning, Knowledge Eng. Review, vol. 27, 2012, pp. 433–467.
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.
Dalmau, V., and Krokhin, A. A., Robust Satisfiability for CSPs: Hardness and Algorithmic Results, TOCT, vol. 5, 2013, p. 15.

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