Publications

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G
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., Planning over Chain Causal Graphs for Variables with Domains of Size 5 Is NP-Hard, Journal of Artificial Intelligence Research, vol. 34, 2009, pp. 675-706.
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.
Gimenez, O., and Jonsson, A., The Influence of k-Dependence on the Complexity of Planning, Artificial Intelligence, vol. 177-179, 2012, pp. 25-45.
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.
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.
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.
György, A., and Neu, G., Near-Optimal Rates for Limited-Delay Universal Lossy Source Coding, Proceedings of the {IEEE} International Symposium on Information Theory ({ISIT} 2011), 2011.
György, A., and Neu, G., Near-Optimal Rates for Limited-Delay Universal Lossy Source Coding, IEEE Transactions on Information Theory, vol. 60, 2014, pp. 2823–2834.
H
Haslum, P., Bonet, B., and Geffner, H., New admissible heuristics for optimal planning, Proc. AAAI-05, 2005.
Haslum, P., Helmert, M., and Jonsson, A., Safe, Strong and Tractable Relevance Analysis for Planning, Proceedings of the 23rd International Conference on Automated Planning and Scheduling (ICAPS'13), 2013.
Helmert, M., and Geffner, H., Unifying the Causal Graph and Additive Heuristics, Proc. Int. Conf. on Automated Planning & Scheduling (ICAPS-08), 2008, pp. 140–147.
Herbort, O., Ognibene, D., Butz, M. V., and Baldassarre, G., Learning to select targets within targets in reaching tasks, Development and Learning, 2007. ICDL 2007. IEEE 6th International Conference on, IEEE, 2007, pp. 7–12.
Hernández, H., Blum, C., and Francès, G., Ant Colony Optimization for Energy-Efficient Broadcasting in Ad-Hoc Networks, Ant Colony Optimization and Swarm Intelligence, vol. 5217, 2008, pp. 25-36.
Hoffmann, J., and Geffner, H., Branching Matters: Alternative Branching in Graphplan, Proc. $13^{th}$ Int. Conf. on Automated Planning and Scheduling (ICAPS-2003), E. Giunchiglia, Muscettolla, N., and Nau, D., AAAI Press, 2003, pp. 22–31.
J
Jiménez, S., Jonsson, A., and Palacios, H., Temporal Planning With Required Concurrency Using Classical Planning, Proceedings of the 25th International Conference on Automated Planning and Scheduling (ICAPS'15), 2015.
Jiménez, S., and Jonsson, A., Computing Plans with Control Flow and Procedures using a Classical Planner, Proceedings of the 8th International Annual Symposium on Combinatorial Search (SoCS'15), 2015.
Jiménez, S., Fernández, F., and Borrajo, D., Machine Learning of Plan Robustness Knowledge About Instances, Machine Learning: {ECML} 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings, 2005, pp. 609–616.
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.
Jiménez, S., Fernández, F., and Borrajo, D., The PELA Architecture: Integrating Planning and Learning to Improve Execution, Proceedings of the Twenty-Third {AAAI} Conference on Artificial Intelligence, {AAAI} 2008, Chicago, Illinois, USA, July 13-17, 2008, 2008, pp. 1294–1299.
Jiménez, S., and Turbides, Tde la Rosa, Learning-Based Planning, Encyclopedia of Artificial Intelligence {(3} Volumes), 2009, pp. 1024–1028.
Jiménez, S., Fernández, F., and Borrajo, D., Integrating Planning, Execution, and Learning to Improve Plan Execution, Computational Intelligence, vol. 29, 2013, pp. 1–36.
Jonsson, A., and Barto, A., Causal Graph Based Decomposition of Factored MDPs, Journal of Machine Learning Research, vol. 7, 2006, pp. 2259-2301.
Jonsson, A., and Rovatsos, M., Scaling Up Multiagent Planning: A Best-Response Approach, Proceedings of the 21st International Conference on Automated Planning and Scheduling (ICAPS'11), 2011.
Jonsson, A., and Barto, A., A Causal Approach to Hierarchical Decomposition of Factored MDPs, Proceedings of the 22nd International Conference on Machine Learning (ICML'05), 2005, pp. 401-408.

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