Publications

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G
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., 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., 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.
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.
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.
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., 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., 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.

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