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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.
Devroye, L., Lugosi, G., and Neu, G., Prediction by random-walk perturbation, Proceedings of the 26th Conference on Learning Theory (COLT), 2013.
Ferrauto, T., Ognibene, D., Caligiore, D., and Baldassarre, G., Trajectory learning through motor babbling: reaching with obstacle avoidance, WIVACE 2007 - Quarto Workshop Italiano di Vita Artificiale e Computazione Evolutiva (Sampieri (RG), Italy, 5-7 Settembre 2007), Universita' di Catania, 2007.
Ferrauto, T., Caligiore, D., Ognibene, D., and Baldassarre, G., A User Interface for Physical Engine Robot Simulators, 2007.
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)
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.
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.
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.
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.
Francès, G., and Geffner, H., Modeling and Computation in Planning: Better Heuristics from More Expressive Languages, 25th International Conference on Automated Planning and Scheduling (ICAPS 2015), 2015.
Francès, G., Rubio-Campillo, X., Lancelotti, C., and Madella, M., Decision Making in Agent-Based Models, Multi-Agent Systems, 2014, pp. 370–378.
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.
Friston, K., Rigoli, F., Ognibene, D., Mathys, C., Fitzgerald, T., and Pezzulo, G., Active inference and epistemic value, Cognitive neuroscience, 2015, pp. 1–28.
Gama, J., Camacho, R., Brazdil, P., Jorge, A., and Torgo, L., Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings, Lecture Notes in Computer Science, vol. 3720, 2005.
Geffner, H., Computational models of planning, Wiley Interdisciplinary Reviews: Cognitive Science, vol. 4, 2013, pp. 341–356.
Geffner, T., and Geffner, H., Width-based Planning for General Video-Game Playing, Proc. 2015 IJCAI Workshop on General Intelligence in Game Playing Agents, 2015.
Geffner, H., Artificial Intelligence: From programs to solvers, AI Communications, vol. 27, 2014, pp. 45–51.
Geffner, H., Non-classical Planning with a Classical Planner: The Power of Transformations, Logics in Artificial Intelligence, Springer International Publishing, 2014, pp. 33–47.
Geffner, H., Planning Graphs and Knowledge Compilation, Proceedings of the Fourth Int. Conf. on Principles of Knowledge Representation and Reasoning (KR-04), D. Dubois, Welty, C., and Williams, M., AAAI Press, 1994, pp. 662–672.
Geffner, H., Perspectives on Artificial Intelligence Planning, Proc. 18th Nat. Conf. on Artificial Intelligence (AAAI-97), AAAI/MIT Press, 2002, pp. 1013–1023.
Geffner, H., and Bonet, B., A Concise Introduction to Models and Methods for Automated Planning, Synthesis Lectures on Artificial Intelligence and Machine Learning, vol. 8, 2013, pp. 1–141.
Geffner, H., and Haslum, P., Admissible heuristics for optimal planning, Proceedings of the 5th Internat. Conf. of AI Planning Systems (AIPS 2000), 2000.
Gimenez, O., and Jonsson, A., On the Hardness of Planning Problems With Simple Causal Graphs, Proceedings of the 17th International Conference on Automated Planning and Scheduling (ICAPS'07), 2007, pp. 152-159.
Gimenez, O., and Jonsson, A., The Complexity of Planning Problems With Simple Causal Graphs, Journal of Artificial Intelligence Research, vol. 31, 2008, pp. 319-351.