Publications

2017

Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson (2017). Generating Context-Free Grammars using Classical Planning. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-17). (pdf)

Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson (2017). Unsupervised Classification of Planning Instances. Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS-17). (pdf)

Ishari Amarasinghe, Davinia Hernández-Leo and Anders Jonsson (2017). Intelligent Group Formation in Computer Supported Collaborative Learning Scripts. Proceedings of the 17th IEEE International Conference on Advanced Learning Technologies (ICALT-17). (pdf)

Ishari Amarasinghe, Davinia Hernández-Leo and Anders Jonsson (2017). Towards Data-Informed Group Formation Support Across Learning Spaces. Proceedings of the 2nd International Workshop on Learning Analytics Across Physical and Digital Spaces (CrossLAK-17). (pdf)

2016

Javier Segovia-Aguas, Jonathan Ferrer-Mestres and Anders Jonsson (2016). Planning with Partially Specified Behaviors. Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA-16). (pdf)

Damir Lotinac and Anders Jonsson (2016). Constructing Hierarchical Task Models Using Invariance Analysis. Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI-16). (pdf)

Damir Lotinac, Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson (2016). Automatic Generation of High-Level State Features for Generalized Planning. Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16). (pdf)

Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson (2016). Hierarchical Finite State Controllers for Generalized Planning. Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16). (pdf)

Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson (2016). Generalized Planning With Procedural Domain Control Knowledge. Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS-16). (pdf)

Anders Jonsson and Vicenç Gómez (2016). Hierarchical Linearly-Solvable Markov Decision Problems. Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS-16). (pdf)

2015

Sergio Jiménez and Anders Jonsson (2015). Computing Plans with Control Flow and Procedures using a Classical Planner. Proceedings of the 8th International Annual Symposium on Combinatorial Search (SoCS-15). (pdf)

Sergio Jiménez, Anders Jonsson and Héctor Palacios (2015). Temporal Planning With Required Concurrency Using Classical Planning. Proceedings of the 25th International Conference on Automated Planning and Scheduling (ICAPS-15). (pdf)

Damir Lotinac and Anders Jonsson (2015). Automatic Generation of HTNs From PDDL. Proceedings of the 5th Workshop on Planning and Learning (PAL) at the International Conference on Automated Planning and Scheduling (ICAPS-15): 15-23.

Damir Lotinac and Anders Jonsson (2015). Automatic Generation of HTNs From PDDL. Proceedings of the 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM-15). (pdf)

2014

Matthew Crosby, Anders Jonsson and Michael Rovatsos (2014). A Single-Agent Approach to Multiagent Planning. Proceedings of the 21st European Conference on Artificial Intelligence (ECAI-14). (pdf)

Octavi Font, Guillem Francès, Anders Jonsson, Phil Bartie and William Mackaness (2014). Probabilistic Activity Recognition in Navigation. Proceedings of the 11th IEEE Workshop on Positioning, Navigation and Communication (WPNC-14). (pdf)

Christer Bäckström, Anders Jonsson and Peter Jonsson (2014). Automaton Plans. Journal of Artificial Intelligence Research, 51: 255-291. (pdf)

Anders Jonsson, Peter Jonsson and Tomas Lööw (2014). Limitations of Acyclic Causal Graphs for Planning. Artificial Intelligence, 210: 36-55. (pdf)

2013

Anders Jonsson, Peter Jonsson and Tomas Lööw (2013). When Acyclicity Is Not Enough: Limitations of the Causal Graph. Proceedings of the 23rd International Conference on Automated Planning and Scheduling (ICAPS-13). (pdf)

Patrik Haslum, Malte Helmert and Anders Jonsson (2013). Safe, Strong and Tractable Relevance Analysis for Planning. Proceedings of the 23rd International Conference on Automated Planning and Scheduling (ICAPS-13). (pdf)

2012

Christer Bäckström, Anders Jonsson and Peter Jonsson (2012). Macros, Reactive Plans and Compact Representations. Proceedings of the 20th European Conference on Artificial Intelligence (ECAI-12). (pdf)

Christer Bäckström, Anders Jonsson and Peter Jonsson (2012). From Macro Plans to Automata Plans. Proceedings of the 20th European Conference on Artificial Intelligence (ECAI-12). (pdf)

Omer Gimenez and Anders Jonsson (2012). The influence of k-dependence on the complexity of planning. Artificial Intelligence, 177-179: 25-45. (pdf)

Earlier papers

Anders Jonsson and Michael Rovatsos (2011). Scaling Up Multiagent Planning: A Best-Response Approach. Proceedings of the 21st International Conference on Automated Planning and Scheduling (ICAPS-11). (pdf)

Anders Jonsson, Christophe Parisot and Christophe De Vleeschouwer (2010). A Learning Approach to Interactive Browsing of Surveillance Content. Proceedings of the 4th International Conference on Distributed Smart Cameras (ICDSC-10). (pdf)

Omer Gimenez and Anders Jonsson (2009). The Influence of k-Dependence on the Complexity of Planning. Proceedings of the 19th International Conference on Automated Planning and Scheduling (ICAPS-09): 138-145. (postscript, pdf)

Anders Jonsson (2009). The Role of Macros in Tractable Planning. Journal of Artificial Intelligence Research, 36: 471-511. (pdf)

Omer Gimenez and Anders Jonsson (2009). Planning over Chain Causal Graphs for Variables with Domains of Size 5 Is NP-Hard. Journal of Artificial Intelligence Research, 34: 675-706. (pdf)

Omer Gimenez and Anders Jonsson (2008). The Complexity of Planning Problems With Simple Causal Graphs. Journal of Artificial Intelligence Research, 31: 319-351. (pdf)

Omer Gimenez and Anders Jonsson (2008). In Search of the Tractability Boundary of Planning Problems. Proceedings of the 18th International Conference on Automated Planning and Scheduling (ICAPS-08): 99-106. (postscript, pdf)

Anders Jonsson (2007). Efficient Pruning of Operators in Planning Domains. Lecture Notes in Artificial Intelligence: Current Topics in Artificial Intelligence - CAEPIA 2007, 4788: 130-139. (postscript, pdf)

Omer Gimenez and Anders Jonsson (2007). On the Hardness of Planning Problems With Simple Causal Graphs. Proceedings of the 17th International Conference on Automated Planning and Scheduling (ICAPS-07): 152-159. (postscript, pdf)

Anders Jonsson and Andrew Barto (2007). Active Learning of Dynamic Bayesian Networks in Markov Decision Processes. Lecture Notes in Artificial Intelligence: Abstraction, Reformulation, and Approximation - SARA 2007, 4612: 273-284. (postscript, pdf)

Anders Jonsson (2007). The Role of Macros in Tractable Planning Over Causal Graphs. Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07): 1936-1941. (postscript, pdf)

Paulo Trigo, Anders Jonsson, and Helder Coelho (2006). Coordination with Collective and Individual Decisions. Lecture Notes in Artificial Intelligence: Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, 4140: 37-47. (pdf)

Anders Jonsson and Andrew Barto (2006). Causal Graph Based Decomposition of Factored MDPs. Journal of Machine Learning Research, 7: 2259-2301. (pdf)

Anders Jonsson and Andrew Barto (2005). A Causal Approach to Hierarchical Decomposition of Factored MDPs. Proceedings of the 22nd International Conference on Machine Learning (ICML-05): 401-408. (postscript, pdf)

Anders Jonsson, Jeff Johns, Hasmik Mehranian, Ivon Arroyo, Beverly Woolf, Andrew Barto, Donald Fisher, and Sridhar Mahadevan (2005). Evaluating the Feasibility of Learning Student Models from Data. Proceedings of the Workshop on Educational Data Mining at AAAI-2005: 1-6. (postscript, pdf)

Anders Jonsson and Andrew Barto (2001). Automated State Abstraction for Options using the U-Tree Algorithm. Advances in Neural Information Processing Systems (NIPS-00), 13: 1054-1060. (postscript, pdf)



Books and theses

Anders Jonsson (2008). Hierarchical Decomposition in Reinforcement Learning. VDM Verlag, Saarbrücken, Germany; ISBN 978-3-8364-3861-2.

Anders Jonsson (2005). A Causal Approach to Hierarchical Decomposition in Reinforcement Learning. Ph.D. thesis, Computer Science Department, University of Massachusetts Amherst, USA. (pdf)

Anders Jonsson (1998). Experimenting in Learning Multiple Behaviors in a Robot Swarm. Masters Thesis, Department of Numerical Analysis and Computing Science, Royal Institute of Technology (KTH), Stockholm, Sweden.