Daniel Borrajo Universidad Carlos III de Madrid 
[Planning and Learning Group]
 
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A Review of Machine Learning for Automated Planning. Jiménez, S.; Rosa, T. de la ; Fernández, S.; Fernández, F.; and Borrajo, D. In Press. Knowledge Engineering Review Journal:.
A Review of Machine Learning for Automated Planning [PDF] A Review of Machine Learning for Automated Planning [bib]
Integrating Planning, Execution and Learning to Improve Plan Execution. Jiménez, S.; Fernández, F.; and Borrajo, D. In Press. Computational Intelligence Journal:.
Integrating Planning, Execution and Learning to Improve Plan Execution [PDF] Integrating Planning, Execution and Learning to Improve Plan Execution [bib]
Using Automated Planning for Improving Data Mining Processes. Fernández, S.; Rosa, T. de la ; Fernández, F.; Suárez, R.; Ortiz, J.; Borrajo, D.; and Manzano, D. In Press. Knowledge Engineering Review Journal():.
Using Automated Planning for Improving Data Mining Processes [PDF] Using Automated Planning for Improving Data Mining Processes [bib]
On the automatic compilation of e-learning models to planning. Garrido, A.; Onaindía, E.; Morales, L.; Castillo, L.; Fernández, S.; and Borrajo, D. In Press. Knowledge Engineering Review Journal():.
On the automatic compilation of e-learning models to planning [PDF] On the automatic compilation of e-learning models to planning [bib]
Modeling Motivations, Personality Traits and Emotional States in Deliberative Agents Based on Automated Planning. Pérez, D.; Fernández, S.; and Borrajo, D. 2012. In 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011), J. Filipe and A. Fred, Volume CCIS 271, 146--160, Springer Verlag, Heidelberg.
Modeling Motivations, Personality Traits and Emotional States in Deliberative Agents Based on Automated Planning [PDF] Modeling Motivations, Personality Traits and Emotional States in Deliberative Agents Based on Automated Planning [bib]
Using Linear Programming to solve Clustered Oversubscription Planning Problems for Designing e-Courses. Fernández, S., and Borrajo, D. 2012. Expert Systems with Applications, 39():5178--5188. doi:10.1016/j.eswa.2011.11.021
Using Linear Programming to solve Clustered Oversubscription Planning Problems for Designing e-Courses [http://dx.doi.org/10.1016/j.eswa.2011.11.021] Using Linear Programming to solve Clustered Oversubscription Planning Problems for Designing e-Courses [bib]
How Good is the Performance of the Best Portfolio in IPC-2011?. Núñez, S.; Borrajo, D.; and López, C. L. 2012. In Proceedings of ICAPS'12 workshop on International Planning Competition, AAAI Press, Atibaia (Brazil).
How Good is the Performance of the Best Portfolio in IPC-2011? [PDF] How Good is the Performance of the Best Portfolio in IPC-2011? [bib]
Probabilistically Reusing Plans in Deterministic Planning. Borrajo, D., and Veloso, M. 2012. In Proceedings of ICAPS'12 workshop on Heuristics and Search for Domain-Independent Planning, AAAI Press, Atibaia (Brazil).
Probabilistically Reusing Plans in Deterministic Planning [PDF] Probabilistically Reusing Plans in Deterministic Planning [bib]
PELEA: a Domain-Independent Architecture for Planning, Execution and Learning. Guzmán, C.; Alcázar, V.; Prior, D.; Onaindía, E.; Borrajo, D.; Fdez-Olivares, J.; and Quintero, E. 2012. In Proceedings of ICAPS'12 Scheduling and Planning Applications woRKshop (SPARK), AAAI Press, Atibaia (Brazil).
PELEA: a Domain-Independent Architecture for Planning, Execution and Learning [PDF] PELEA: a Domain-Independent Architecture for Planning, Execution and Learning [bib]
Scaling up Heuristic Planning with Relational Decision Trees. De la Rosa, T.; Jiménez, S.; Fuentetaja, R.; and Borrajo, D. 2011. Journal of Artificial Intelligence Research, 40:767--813. http://dx.doi.org/10.1613/jair.3231
Scaling up Heuristic Planning with Relational Decision Trees [PDF] Scaling up Heuristic Planning with Relational Decision Trees [bib]
Planning Multi-modal Transportation Problems. Flórez, J. E.; Torralba, Álvaro ; García, J.; López, C. L.; García-Olaya, Ángel ; and Borrajo, D. 2011. In Proceedings of ICAPS'11, AAAI Press, Freiburg (Germany), June.
Planning Multi-modal Transportation Problems [http://aaai.org/ocs/index.php/ICAPS/ICAPS11/paper/view/2701] Planning Multi-modal Transportation Problems [bib]
Autonomous Mobile Robot Control and Learning with PELEA Architecture. Quintero, E.; Alcázar, V.; Borrajo, D.; Fdez-Olivares, J.; Fernández, F.; García-Olaya, Ángel ; Guzmán, C.; Onaindía, E.; and Prior, D. 2011. In Working Notes of the AAAI'11 Workshop on Automated Action Planning for Autonomous Mobile Robots (PAMR'11), Sanem Sariel-Talay and Stephen Smith and Nilufer Onder, 51--56, AAAI Press, San Francisco (USA), August, AAAI. Technical Report WS-11-04
Autonomous Mobile Robot Control and Learning with PELEA Architecture [PDF] Autonomous Mobile Robot Control and Learning with PELEA Architecture [bib]
Using Relaxed Plan Heuristic to Select Goals in Oversubscription Planning Problems. García-Olaya, A.; Rosa, T. de la ; and Borrajo, D. 2011. In Advances in Artificial Intelligence, José A. Lozano and José A. Gámez and José A. Moreno, Volume 7023/2011, 183--192, Springer Verlag, La Laguna (Spain), November. Best paper award. DOI: 10.1007/978-3-642-25274-7_19. ISBN 978-3-642-25273-0
Using Relaxed Plan Heuristic to Select Goals in Oversubscription Planning Problems [http://dx.doi.org/10.1007/978-3-642-25274-7_19] Using Relaxed Plan Heuristic to Select Goals in Oversubscription Planning Problems [bib]
Control of Autonomous Mobile Robots with Automated Planning. Quintero, E.; García-Olaya, Ángel ; Borrajo, D.; and Fernández, F. 2011. Journal of Physical Agents, 5(1):3-13.
Control of Autonomous Mobile Robots with Automated Planning [http://www.jopha.net/index.php/jopha/article/view/81] Control of Autonomous Mobile Robots with Automated Planning [bib]
Adapting an RRT for Automated Planning. Alcázar, V.; Veloso, M.; and Borrajo, D. 2011. In Proceedings of the Fourth International Symposium on Combinatorial Search (SoCS-2011), Daniel Borrajo and Carlos Linares López and Max Likhachev, 2-9, AAAI Press, Cardona (Spain).
Adapting an RRT for Automated Planning [http://www.aaai.org/ocs/index.php/SOCS/SOCS11/paper/view/4021] Adapting an RRT for Automated Planning [bib]
A Dynamic Sliding Window for Activity Recognition. Ortiz, J.; García-Olaya, A.; and Borrajo, D. 2011. In User Modeling, Adaptation and Personalization: 19th International Conference, UMAP 2011, Joseph Konstan and Ricardo Conejo and José L. Marzo and Nuria Oliver, Volume LNCS 6787, 219--230, Springer Verlag, Girona (Spain), July.
A Dynamic Sliding Window for Activity Recognition [PDF] A Dynamic Sliding Window for Activity Recognition [bib]
A Prototype-Based Method for Classification with Time Constraints: A Case Study on Automated Planning. García-Durán, R.; Fernández, F.; and Borrajo, D. 2010. Pattern Analysis and Applications Journal():1--17.
A Prototype-Based Method for Classification with Time Constraints: A Case Study on Automated Planning [http://dx.doi.org/10.1007/s10044-010-0194-6] A Prototype-Based Method for Classification with Time Constraints: A Case Study on Automated Planning [bib]
Information Retrieval and Mining in Distributed Environments. Addis, A., and Borrajo, D. 2010. Chapter From Unstructured Web Knowledge to Plan Descriptions, Studies in Computational Intelligence, Alessandro Soro and Eloisa Vargiu and Giuliano Armano and Gavino Paddeu, 41--59, Springer Verlag.
Information Retrieval and Mining in Distributed Environments [PDF] Information Retrieval and Mining in Distributed Environments [bib] Buy
Using Backwards Generated Goals for heuristic planning. Alcázar, V.; Borrajo, D.; and López, C. L. 2010. In Proceedings of ICAPS'10, 2--9, AAAI Press, Toronto (Canada), May.
Using Backwards Generated Goals for heuristic planning [http://www.aaai.org/ocs/index.php/ICAPS/ICAPS10/paper/view/1428] Using Backwards Generated Goals for heuristic planning [bib]
A Look-ahead B&B Search for Cost-Based Planning. Fuentetaja, R.; Borrajo, D.; and López, C. L. 2010. In Current Topics in Artficial Intelligence, CAEPIA 2009 Selected Papers, Pedro Meseguer and Lawrence Mandow and Rafael Martínez-Gasca, Volume LNAI 5988, 201-211, Springer Verlag, Sevilla (Spain).
A Look-ahead B&B Search for Cost-Based Planning [PDF] A Look-ahead B&B Search for Cost-Based Planning [bib]
Improving the Execution of KDD Workflows Generated by AI Planners. Fernández, S.; Suárez, R.; Rosa, T. de la ; Ortiz, J.; Fernández, F.; Borrajo, D.; and Manzano, D. 2010. In Proceedings of the ECAI'10 3rd Planning to Learn Workshop (PlanLearn), Lisboa (Portugal), August.
Improving the Execution of KDD Workflows Generated by AI Planners [PDF] Improving the Execution of KDD Workflows Generated by AI Planners [bib]
Automatic generation of temporal planning domains for e-learning problems. Castillo, L.; Morales, L.; González-Ferrer, A.; Fdez-Olivares, J.; Borrajo, D.; and Onaindía, E. 2010. Journal of Scheduling, 13(4):347-362. ISSN: 1094-6136 (print version), ISSN: 1099-1425 (electronic version), DOI: 10.1007/s10951-009-0140-x
Automatic generation of temporal planning domains for e-learning problems [http://dx.doi.org/10.1007/s10951-009-0140-x] Automatic generation of temporal planning domains for e-learning problems [bib]
Adding Diversity to Classical Heuristic Planning. López, C. L., and Borrajo, D. 2010. In Proceedings of Third International Symposium on Combinatorial Search (SoCS-2010), Nathan Sturtevant and Ariel Felner, AAAI Press, Atlanta (USA).
Adding Diversity to Classical Heuristic Planning [PDF] Adding Diversity to Classical Heuristic Planning [bib]
Map-Merging-Free Connectivity Positioning for Distributed Robot Teams. Liemhetcharat, S.; Veloso, M.; Melo, F.; and Borrajo, D. 2010. In Proceedings of the 11th International Conference on Intelligent Autonomous Systems, Ottawa (Canada).
Map-Merging-Free Connectivity Positioning for Distributed Robot Teams [PDF] Map-Merging-Free Connectivity Positioning for Distributed Robot Teams [bib]
GA-Stacking: Evolutionary Stacked Generalization. Ledezma, A.; Aler, R.; Sanchis, A.; and Borrajo, D. 2010. Intelligent Data Analysis, 14(1):89-119.
GA-Stacking: Evolutionary Stacked Generalization [http://iospress.metapress.com/content/527748g761675120/?p=10260870f1a441efb31aff64b004673f&pi=5] GA-Stacking: Evolutionary Stacked Generalization [bib]
Reinforcement Learning: Algorithms, Implementations and Applications. García, J.; López-Bueno, I.; Fernández, F.; and Borrajo, D. 2010. Chapter A Comparative Study of Discretization Approaches for State Space Generalization in the Keepaway Soccer Task, Nova Publishers.
Reinforcement Learning: Algorithms, Implementations and Applications [PDF] Reinforcement Learning: Algorithms, Implementations and Applications [bib]
Three Relational Learning Approaches for Lookahead Heuristic Search. Rosa, T. de la ; García-Durán, R.; Jiménez, S.; Fernández, F.; García-Olaya, A.; and Borrajo, D. 2009. In Proceedings of the Workshop on Planning and Learning of ICAPS09, Thessaloniki (Greece), September.
Three Relational Learning Approaches for Lookahead Heuristic Search [PDF] Three Relational Learning Approaches for Lookahead Heuristic Search [bib]
OMBO: An opponent modeling approach. Ledezma, A.; Aler, R.; Sanchis, A.; and Borrajo, D. 2009. AI Communications, 22(1):21-35.
OMBO: An opponent modeling approach [http://iospress.metapress.com/content/f6117703v7148rm1/?p=c97db619a3f2496e857ef454c588fa52&pi=1] OMBO: An opponent modeling approach [bib]
A Unified View of Cost-Based Heuristics. Fuentetaja, R.; Borrajo, D.; and López, C. L. 2009. In Proceedings of Workshop on Heuristics for Domain-Independent Planning, ICAPS'09, Thessaloniki (Greece), September.
A Unified View of Cost-Based Heuristics [PDF] A Unified View of Cost-Based Heuristics [bib]
Learning relational decision trees for guiding heuristic planning. Rosa, T. de la ; Jiménez, S.; and Borrajo, D. 2008. In Proceedings of ICAPS'08, AAAI Press, Sydney (Australia), September.
Learning relational decision trees for guiding heuristic planning [PDF] Learning relational decision trees for guiding heuristic planning [bib]
A New Approach to Heuristic Estimations for Cost-Based Planning. Fuentetaja, R.; Borrajo, D.; and López, C. L. 2008. In Proceedings of FLAIRS'08, Coconut Grove, FL (USA), May.
A New Approach to Heuristic Estimations for Cost-Based Planning [PDF] A New Approach to Heuristic Estimations for Cost-Based Planning [bib]
SAMAP. A user-oriented adaptive system for planning tourist visits. Castillo, L.; Armengol, E.; Onaindía, E.; Sebastiá, L.; González-Boticario, J.; Rodríguez, A.; Fernández, S.; Arias, J. D.; and Borrajo, D. 2008. Expert Systems with Applications, 34(2):1318--1332, February. ISSN: 0957-4174
SAMAP. A user-oriented adaptive system for planning tourist visits [PDF] SAMAP. A user-oriented adaptive system for planning tourist visits [bib]
Unsupervised and Domain Independent Ontology Learning. Combining Heterogeneous sources of evidence. Manzano-Macho, D.; Gómez-Pérez, A.; and Borrajo, D. 2008. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech (Marruecos), June.
Unsupervised and Domain Independent Ontology Learning. Combining Heterogeneous sources of evidence [PDF] Unsupervised and Domain Independent Ontology Learning. Combining Heterogeneous sources of evidence [bib]
Two Steps Reinforcement Learning. Fernández, F., and Borrajo, D. 2008. International Journal of Intelligent Systems, 23(2):213--245, February.
Two Steps Reinforcement Learning [PDF] Two Steps Reinforcement Learning [bib]
Modelling a RTS Planning Domain with Cost Conversion and Rewards. Alcazar, V.; Borrajo, D.; and López, C. L. 2008. In Artificial Intelligence in Games. Workshop of the 18th European Conference on Artificial Intelligence, 50--54, Patras (Greece), July.
Modelling a RTS Planning Domain with Cost Conversion and Rewards [] Modelling a RTS Planning Domain with Cost Conversion and Rewards [bib]
A Relational Learning Approach to Activity Recognition from Sensor Readings. Ortiz-Laguna, J.; García-Olaya, A.; and Borrajo, D. 2008. In Proceedings of the 4th IEEE Intelligent Systems conference (IS'08), Varna (Bulgaria), September.
A Relational Learning Approach to Activity Recognition from Sensor Readings [PDF] A Relational Learning Approach to Activity Recognition from Sensor Readings [bib]
The PELA architecture: integrating planning and learning to improve execution. Jiménez, S.; Fernández, F.; and Borrajo, D. 2008. In Proceedings of the AAAI'08, AAAI Press, Chicago, IL (USA), July, AAAI.
The PELA architecture: integrating planning and learning to improve execution [PDF] The PELA architecture: integrating planning and learning to improve execution [bib]
A Social and Emotional Model for Obtaining Believable Emergent Behavior. Fernández, S.; Asensio, J.; Jiménez, M.; and Borrajo, D. 2008. In Artificial Intelligence: Methodology, Systems, and Applications, Paolo Traverso and Marco Pistore, Volume 5253/2008, 395--399, Springer Verlag, Varna, Bulgaria, September.
A Social and Emotional Model for Obtaining Believable Emergent Behavior [PDF] A Social and Emotional Model for Obtaining Believable Emergent Behavior [bib]
Prototypes Based Relational Learning. García-Durán, R.; Fernández, F.; and Borrajo, D. 2008. In Artificial Intelligence: Methodology, Systems, and Applications, Paolo Traverso and Marco Pistore, Volume 5253/2008, 130--143, Springer Verlag, Varna, Bulgaria, September.
Prototypes Based Relational Learning [PDF] Prototypes Based Relational Learning [bib]
Preference-Oriented Planning for Achieving Satisfactory Emotional States. Pérez, D.; Fernández, S.; and Borrajo, D. 2008. In Proceedings of the 27th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG'08), Ruth Aylett, Edinburgh (UK), December.
Preference-Oriented Planning for Achieving Satisfactory Emotional States [PDF] Preference-Oriented Planning for Achieving Satisfactory Emotional States [bib]
Learning action durations from executions. Lanchas, J.; Jiménez, S.; Fernández, F.; and Borrajo, D. 2007. In Proceedings of the ICAPS'07 Workshop on Planning and Learning, Providence, Rhode Island (USA).
Learning action durations from executions [PDF] Learning action durations from executions [bib]
Integrating Planning and Scheduling in Workflow Domains. Rodríguez-Moreno, M. D.; Borrajo, D.; Cesta, A.; and Oddi, A. 2007. Expert Systems with Applications, 33(2):389-406, October.
Integrating Planning and Scheduling in Workflow Domains [PDF] Integrating Planning and Scheduling in Workflow Domains [bib]
sc PLTOOL. A KE Tool for Planning and Learning. Fernández, S.; Borrajo, D.; Fuentetaja, R.; Arias, J. D.; and Veloso, M. 2007. Knowledge Engineering Review Journal, 22(2):153--184.
sc PLTOOL. A KE Tool for Planning and Learning [PDF] sc PLTOOL. A KE Tool for Planning and Learning [bib]
Case-Based Recommendation of Node Ordering in Planning. Rosa, T. de la ; García-Olaya, A.; and Borrajo, D. 2007. In Proceedings of the 20th International FLAIRS Conference, Douglas D. Dankel II, 393--398, AAAI Press, Key West, FL (USA), May.
Case-Based Recommendation of Node Ordering in Planning [PDF] Case-Based Recommendation of Node Ordering in Planning [bib]
Using Cases Utility for Heuristic Planning Improvement. De la Rosa, T.; García-Olaya, A.; and Borrajo, D. 2007. In Case-Based Reasoning Research and Development: Proceedings of the 7th International Conference on Case-Based Reasoning, Rosina Weber and Michael Richter, Volume 4626, 137-148, Springer Verlag, Belfast, Northern Ireland, UK, August.
Using Cases Utility for Heuristic Planning Improvement [PDF] Using Cases Utility for Heuristic Planning Improvement [bib]
Transferring Learned Control-Knowledge between Planners. Fernández, S.; Aler, R.; and Borrajo, D. 2007. In Proceedings of IJCAI'07, Manuela Veloso, IJCAI Press, Hyderabad (India). Poster
Transferring Learned Control-Knowledge between Planners [PDF] Transferring Learned Control-Knowledge between Planners [bib]
Multi-agent plan based information gathering. Camacho, D.; Aler, R.; Borrajo, D.; and Molina, J. M. 2006. Applied Intelligence, 25(1):59--71, August.
Multi-agent plan based information gathering [PDF] Multi-agent plan based information gathering [bib]
Nearest Prototype Classification for Relational Learning. García, R.; Fernández, F.; and Borrajo, D. 2006. In Proceedings of International Conference on Inductive Logic Programming (ILP'06), Stephen Muggleton and Ramón Otero, 89--91, Universidad of Coruña, Santiago de Compostela (Spain).
Nearest Prototype Classification for Relational Learning [] Nearest Prototype Classification for Relational Learning [bib]
Combining Macro-operators with Control Knowledge. García, R.; Fernández, F.; and Borrajo, D. 2006. In Proceedings of International Conference on Inductive Logic Programming (ILP'06), Ramón Otero, Volume 4455, 229--243, Springer Verlag, Santiago de Compostela (Spain).
Combining Macro-operators with Control Knowledge [PDF] Combining Macro-operators with Control Knowledge [bib]
Learning by Knowledge Sharing in Autonomous Intelligent Systems. García-Martínez, R.; Borrajo, D.; Maceri, P.; and Britos, P. 2006. In Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, Volume 4140, 128-137, Springer Verlag, Berlin (Germany).
Learning by Knowledge Sharing in Autonomous Intelligent Systems [PDF] Learning by Knowledge Sharing in Autonomous Intelligent Systems [bib]
Improving control-knowledge acquisition for planning by active learning. Fuentetaja, R., and Borrajo, D. 2006. In Proceedings of 17th European Conference on Machine Learning (ECML'06), Tobias Scheffer, Johannes Fuernkranz and Myra Spiliopoulou, Volume 4212, 138--149, Springer Verlag, Berlin (Germany).
Improving control-knowledge acquisition for planning by active learning [PDF] Improving control-knowledge acquisition for planning by active learning [bib]
HOLA: A Hibrid Ontology Learning Architecture. Manzano-Macho, D.; Gómez-Pérez, A.; and Borrajo, D. 2006. In Proceedings of the 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW2006), Steffen Staab and Vojtech Svatek, Podebrady (Czech Republic), October. Poster
HOLA: A Hibrid Ontology Learning Architecture [PDF] HOLA: A Hibrid Ontology Learning Architecture [bib]
IPSS: A Hybrid Approach to Planning and Scheduling Integration. Rodríguez-Moreno, M. D.; Oddi, A.; Borrajo, D.; and Cesta, A. 2006. IEEE Transactions on Knowledge and Data Engineering, 18(12):1681-1695, December.
IPSS: A Hybrid Approach to Planning and Scheduling Integration [PDF] IPSS: A Hybrid Approach to Planning and Scheduling Integration [bib]
Improving relaxed planning graph heuristics for metric optimization. Fuentetaja, R.; Borrajo, D.; and López, C. L. 2006. In Working notes of the AAAI'06 Workshop on Heuristic Search, Memory Based Heuristics and Their Applications, Ariel Felner and Robert C. Holte and Hector Geffner, AAAI Press, Boston, MA (USA), July.
Improving relaxed planning graph heuristics for metric optimization [PDF] Improving relaxed planning graph heuristics for metric optimization [bib]
Planning for an AI based virtual agents game. Fernández, S.; Adarve, R.; Pérez, M.; Rybarczyk, M.; and Borrajo, D. 2006. In Working notes of the ICAPS'06 Workshop on AI Planning for Computer Games and Synthetic Characters, Ruth Aylett and Michael Young, 14--20, Ambleside (U.K.), June.
Planning for an AI based virtual agents game [PDF] Planning for an AI based virtual agents game [bib]
Inducing non-deterministic actions behavior to plan robustly in non-deterministic domains. Jiménez, S.; Fernández, F.; and Borrajo, D. 2006. In Working notes of the ICAPS'06 Workshop on Planning under Uncertainty and Execution Control for Autonomous Systems, Christophe Guettier, 67--74, Ambleside (U.K.), June.
Inducing non-deterministic actions behavior to plan robustly in non-deterministic domains [PDF] Inducing non-deterministic actions behavior to plan robustly in non-deterministic domains [bib]
Using ontologies for planning tourist visits. Arias, J. D.; Sebastiá, L.; and Borrajo, D. 2005. In Working notes of the ICAPS'05 Workshop on Role of Ontologies in Planning and Scheduling, 52--59, AAAI Press, Monterey, CA (EEUU), June, AAAI.
Using ontologies for planning tourist visits [PDF] Using ontologies for planning tourist visits [bib]
Capturing knowledge about the instances behavior in probabilistic domains. Jiménez, S.; Fernández, F.; and Borrajo, D. 2005. In Proceedings of the 24th Workshop of the UK Planning and Scheduling Special Interest Group, Andrew Tucson, 44--51, London (UK), December.
Capturing knowledge about the instances behavior in probabilistic domains [PDF] Capturing knowledge about the instances behavior in probabilistic domains [bib]
The Genesis of Boole's logic: its History and a Computer Exploration. Ledesma, L.; Pérez, A.; Borrajo, D.; and Laita, L. M. 2005. Chapter Computer emulation of Boole's Discovery, Memorias de la Real Academia de Ciencias, XXXIII, Luis M. Laita, L. de Ledesma, E. Roanes-Lozano, 95--118, Real Academia de Ciencias, Madrid.
The Genesis of Boole's logic: its History and a Computer Exploration [bib] Buy
A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains. Fernández, F.; Borrajo, D.; and Parker, L. 2005. Journal of Intelligent and Robotic Systems, 43(2--4):161--174, August.
A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains [PDF] A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains [bib]
Tool for automatically acquiring control knowledge for planning. Borrajo, D.; Fernández, S.; Fuentetaja, R.; Arias, J. D.; and Veloso, M. 2005. In Working notes of the ICAPS'05 Competition on Knowledge Engineering for Planning and Scheduling, Roman Barták and Lee McCluskey, 11-17, AAAI Press, Monterey, CA (USA), June, AAAI.
Tool for automatically acquiring control knowledge for planning [PDF] Tool for automatically acquiring control knowledge for planning [bib]
Automatic Generation of Literary Texts: Greek Mythology. Fernández, S.; Pérez, D.; and Borrajo, D. 2005. In Working notes of the IJCAI'05 Workshop on Computational Creativity, Pablo Gervás, Tony Veale and Alison Pease, 3--9, Edinburgh (Scotland), August, IJCAI.
Automatic Generation of Literary Texts: Greek Mythology [PDF] Automatic Generation of Literary Texts: Greek Mythology [bib]
Machine learning of plan robustness knowledge about instances. Jiménez, S.; Fernández, F.; and Borrajo, D. 2005. In Proceedings of 16th European Conference on Machine Learning (ECML'05), João Gama and Rui Camacho and Pavel B. Brazdil and Alípio M. Jorge and Luís Torgo, Volume 3720, 609--616, Springer Verlag, Porto (Portugal).
Machine learning of plan robustness knowledge about instances [PDF] Machine learning of plan robustness knowledge about instances [bib]
Planning, Scheduling and Constraint Satisfaction: from Theory to Practice. Rodríguez-Moreno, M. D.; Borrajo, D.; Oddi, A.; Cesta, A.; and Meziat, D. 2005. Chapter Planning and scheduling for workflow domains, Frontiers in Artificial Intelligence and Applications, Luis Castillo, Daniel Borrajo, Miguel A. Salido and Angelo Oddi, 169-178, IOS Press.
Planning, Scheduling and Constraint Satisfaction: from Theory to Practice [PDF] Planning, Scheduling and Constraint Satisfaction: from Theory to Practice [bib] Buy
Predicting Opponent Actions by Observation. Ledezma, A.; Aler, R.; Sanchis, A.; and Borrajo, D. 2005. In RoboCup 2004: Robot Soccer World Cup VIII, Daniele Nardi and Martin Riedmiller and Claude Sammut, Volume 3276, 286-296, Springer Verlag, Lisbon (Portugal).
Predicting Opponent Actions by Observation [PDF] Predicting Opponent Actions by Observation [bib]
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains. Fernández, S.; Aler, R.; and Borrajo, D. 2005. Applied Artificial Intelligence, 19(8):783--809, September.
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains [PDF] Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains [bib]
A Multi-Agent Architecture for Intelligent Gathering Systems. Camacho, D.; Aler, R.; Borrajo, D.; and Molina, J. M. 2005. AI Communications, 18(1):15--32.
A Multi-Agent Architecture for Intelligent Gathering Systems [PDF] A Multi-Agent Architecture for Intelligent Gathering Systems [bib]
Using Previous Experience for Learning Planning Control Knowledge. Fernández, S.; Aler, R.; and Borrajo, D. 2004. In Proceedings of the Seventeen International Florida Artificial Intelligence (FLAIRS04), Valerie Barr and Zdravko Markov, 713-718, AAAI Press, Miami Beach, FL (USA), May.
Using Previous Experience for Learning Planning Control Knowledge [PDF] Using Previous Experience for Learning Planning Control Knowledge [bib]
Empirical Evaluation of Optimized Stacking Configurations. Ledezma, A.; Aler, R.; Sanchis, A.; and Borrajo, D. 2004. In Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, IEEE Computer Society, Boca Raton, FL (USA).
Empirical Evaluation of Optimized Stacking Configurations [PDF] Empirical Evaluation of Optimized Stacking Configurations [bib]
An AI Planning-based Tool for Scheduling Satellite Nominal Operations. Rodríguez-Moreno, M. D.; Borrajo, D.; and Meziat, D. 2004. AI Magazine, 25(4):9--27, Winter.
An AI Planning-based Tool for Scheduling Satellite Nominal Operations [http://www.aaai.org/] An AI Planning-based Tool for Scheduling Satellite Nominal Operations [bib]
Learning Retrieval Expert Combinations with Genetic Algorithms. Billhardt, H.; Borrajo, D.; and Maojo, V. 2003. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(1):87--114, February.
Learning Retrieval Expert Combinations with Genetic Algorithms [PS] Learning Retrieval Expert Combinations with Genetic Algorithms [bib]
Technological Roadmap on AI Planning and Scheduling. Biundo, S.; Aylett, R.; Beetz, M.; Borrajo, D.; Cesta, A.; Grant, T.; McCluskey, L.; Milani, A.; and Verfaille, G. 2003. PLANET.
Technological Roadmap on AI Planning and Scheduling [PDF] Technological Roadmap on AI Planning and Scheduling [bib] Buy
PLANET Workflow Management R&D Roadmap. Kearney, P.; Borrajo, D.; Cesta, A.; Matino, N.; and Mehandjiev, N. 2003. PLANET.
PLANET Workflow Management R&D Roadmap [http://www.plg.inf.uc3m.es/ dborrajo/planet/wm-tcu/] PLANET Workflow Management R&D Roadmap [bib] Buy
A Context Vector Model for Information Retrieval. Billhardt, H.; Borrajo, D.; and Maojo, V. 2002. Journal of American Society for Information Science and Technology, 53(3):236--249.
A Context Vector Model for Information Retrieval [PS.GZ] A Context Vector Model for Information Retrieval [bib]
Planning and Scheduling -- A Technology for Improving Flexibility in it e-Commerce and Electronic Work. Biundo, S.; Borrajo, D.; and McCluskey, L. 2002. In Challenges and Achievements in E-business and E-work, B. Stanford-Smith, E. Chiozza, M. Edin, 834-841, IOS Press, Prague (Checz Republic), October.
Planning and Scheduling -- A Technology for Improving Flexibility in it e-Commerce and Electronic Work [ebusiness02.rtf] Planning and Scheduling -- A Technology for Improving Flexibility in it e-Commerce and Electronic Work [bib]
On Control Knowledge Acquisition by Exploiting Human-Computer Interaction. Aler, R., and Borrajo, D. 2002. In Proceedings of the Sixth International Conference on Artificial Intelligence Planning Systems (AIPS-02), Malik Ghallab and Joachim Hertzberg and Paolo Traverso, 112--120, AAAI Press, Toulouse (France), April. Ponencia
On Control Knowledge Acquisition by Exploiting Human-Computer Interaction [PS.GZ] On Control Knowledge Acquisition by Exploiting Human-Computer Interaction [bib]
Using Genetic Programming to Learn and Improve Control Knowledge. Aler, R.; Borrajo, D.; and Isasi, P. 2002. Artificial Intelligence Journal, 141(1-2):29--56, October.
Using Genetic Programming to Learn and Improve Control Knowledge [PS.GZ] Using Genetic Programming to Learn and Improve Control Knowledge [bib]
A knowledge-based approach for business process reengineering, SHAMASH. Aler, R.; Borrajo, D.; Camacho, D.; and Sierra-Alonso, A. 2002. Knowledge-Based Systems, 15(8):473--483.
A knowledge-based approach for business process reengineering, SHAMASH [PS.GZ] A knowledge-based approach for business process reengineering, SHAMASH [bib]
Learning Single-Criteria Control Knowledge for Multi-Criteria Planning. Aler, R., and Borrajo, D. 2002. In Proceedings of the AIPS-02 Workshop on Planning and Scheduling with Multiple Criteria, Brian Drabble and Jana Koehler and Ioannis Refanidis, 35--40, Toulouse (France), April.
Learning Single-Criteria Control Knowledge for Multi-Criteria Planning [PS.GZ] Learning Single-Criteria Control Knowledge for Multi-Criteria Planning [bib]
On Determinism Handling While Learning Reduced State Space Representations. Fernández, F., and Borrajo, D. 2002. In Proceedings of the 15th European Conference on Artificial Intelligence (ECAI 2002), F. van Harmelen, 380--384, IOS Press, Lyon (France), July.
On Determinism Handling While Learning Reduced State Space Representations [PS.GZ] On Determinism Handling While Learning Reduced State Space Representations [bib]
Exploring the Stacking State-space. Ledezma, A.; Aler, R.; and Borrajo, D. 2002. International Journal on Artificial Intelligence Tools, 11(2):267-282, June.
Exploring the Stacking State-space [PS.GZ] Exploring the Stacking State-space [bib]
Heuristic and Optimization for Knowledge Discovery. Ledezma, A.; Aler, R.; and Borrajo, D. 2002. Chapter Heuristic Search-Based Stacking of Classifiers, Ruhul Sarker and Hussein Abbass and Charles Newton, 54--67, Idea Group Publishing.
Heuristic and Optimization for Knowledge Discovery [PDF] Heuristic and Optimization for Knowledge Discovery [bib]
MAPWEB: Cooperation between Planning Agents and Web Agents. Camacho, D.; Molina, J. M.; Borrajo, D.; and Aler, R. 2002. Information & Security. An International Journal. Special Issue on Multi-Agent Technologies, 8(2):209-238.
MAPWEB: Cooperation between Planning Agents and Web Agents [PS.GZ] MAPWEB: Cooperation between Planning Agents and Web Agents [bib]
A Cooperative Distributed Planning Algorithm to Improve Performance in Web Domains. Camacho, D.; Borrajo, D.; Molina, J. M.; and Aler, R. 2002. In IEEE International Conference on Systems, Man and Cybernetics, IEEE Press, Hammamet, (Tunisia), October.
A Cooperative Distributed Planning Algorithm to Improve Performance in Web Domains [PDF] A Cooperative Distributed Planning Algorithm to Improve Performance in Web Domains [bib]
Solving Travel Problems by Integrating sc web Information with Planning. Camacho, D.; Molina, J. M.; Borrajo, D.; and Aler, R. 2002. In Foundations of Intelligent Systems, 482--490, Springer Verlag, Lyon (France), June.
Solving Travel Problems by Integrating sc web Information with Planning [PS.GZ] Solving Travel Problems by Integrating sc web Information with Planning [bib]
sc ABC$^2$ An Agenda Based Multi-Agent Model for Robots Control and Cooperation. Matellán, V., and Borrajo, D. 2001. Journal of Intelligent and Robotic Systems, 32(1):93-114, October.
sc ABC$^2$ An Agenda Based Multi-Agent Model for Robots Control and Cooperation [PS.GZ] sc ABC$^2$ An Agenda Based Multi-Agent Model for Robots Control and Cooperation [bib]
Planning-based Generation of Process Models. Rodríguez-Moreno, M. D.; Borrajo, D.; and Meziat, D. 2001. In Proceedings of the ECP-01/PLANET Workshop on Automated Planning and Scheduling Technologies in New Methods of Electronic, Mobile and Collaborative Work, Lee McCluskey and Alfredo Milani, 22--34, Toledo (Spain), September.
Planning-based Generation of Process Models [ecp01-workshop.pdf.gz] Planning-based Generation of Process Models [bib]
Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. Aler, R.; Borrajo, D.; and Isasi, P. 2001. Evolutionary Computation, 9(4):387--420.
Learning to Solve Planning Problems Efficiently by Means of Genetic Programming [PS.GZ] Learning to Solve Planning Problems Efficiently by Means of Genetic Programming [bib]
Quality-based Learning for Planning. Borrajo, D.; Vegas, S.; and Veloso, M. 2001. In Working notes of the IJCAI'01 Workshop on Planning with Resources, 9--17, IJCAI Press, Seattle, WA (USA), August.
Quality-based Learning for Planning [PS.GZ] Quality-based Learning for Planning [bib]
Intelligent Travel Planning: A Multiagent Planning System to Solve Web Problems in the e-Tourism Domain. Camacho, D.; Borrajo, D.; and Molina, J. M. 2001. Journal of Autonomous Agents and Multi-Agent Systems, 4(4):387--392, December.
Intelligent Travel Planning: A Multiagent Planning System to Solve Web Problems in the e-Tourism Domain [PS.GZ] Intelligent Travel Planning: A Multiagent Planning System to Solve Web Problems in the e-Tourism Domain [bib]
Empirical Study of a Stacking State-space. Ledezma, A.; Aler, R.; and Borrajo, D. 2001. In Proceedings of the Thirteenth IEEE International Conference on Tools with Artificial Intelligence, 210-217, IEEE Computer Society, Dallas, Texas, November.
Empirical Study of a Stacking State-space [PS.GZ] Empirical Study of a Stacking State-space [bib]
Flexible Integration of Planning and Information Gathering. Camacho, D.; Borrajo, D.; Molina, J. M.; and Aler, R. 2001. In Preprints of the Sixth European Conference on Planning (ECP'01), Amedeo Cesta and Daniel Borrajo, 73--84, Toledo (Spain), September.
Flexible Integration of Planning and Information Gathering [PS.GZ] Flexible Integration of Planning and Information Gathering [bib]
Grammars for Learning Control Knowledge with GP. Aler, R.; Isasi, P.; and Borrajo, D. 2001. In Proceedings of the Congress on Evolutionary Computation (CEC'01), Volume 2, 1220--1227, IEEE Society, Seoul (Korea), May.
Grammars for Learning Control Knowledge with GP [PS.GZ] Grammars for Learning Control Knowledge with GP [bib]
An Integrated Approach of Learning, Planning, and Execution. García-Martínez, R., and Borrajo, D. 2000. Journal of Intelligent and Robotic Systems, 29(1):47--78, September.
An Integrated Approach of Learning, Planning, and Execution [PS.GZ] An Integrated Approach of Learning, Planning, and Execution [bib]
sc VQQL. Applying Vector Quantization to Reinforcement Learning. Fernández, F., and Borrajo, D. 2000. In RoboCup-99: Robot Soccer World Cup III, M. Veloso, E. Pagello and H. Kitano, Volume 1856, 292--303, Springer-Verlag, Stockholm (Sweden).
sc VQQL. Applying Vector Quantization to Reinforcement Learning [PS.GZ] sc VQQL. Applying Vector Quantization to Reinforcement Learning [bib]
Using the general next bit predictor like an evaluation criteria. Hernández, J. C.; Sierra, J. M.; Mex-Perera, C.; Borrajo, D.; Ribagorda, A.; and Isasi, P. 2000. In Proceedings of the NESSIE workshop (New European Schemes for Signature, Integrity, and Encryption), Leuven (Belgium), November.
Using the general next bit predictor like an evaluation criteria [PS.GZ] Using the general next bit predictor like an evaluation criteria [bib]
Learning Models of Other Agents. Aler, R.; Borrajo, D.; Galván, I.; and Ledezma, A. 2000. In Proceedings of the Agents-00/ECML-00 Workshop on Learning Agents, 1--5, Barcelona, Spain.
Learning Models of Other Agents [PDF] Learning Models of Other Agents [bib]
GP fitness functions to evolve heuristics for planning. Aler, R.; Borrajo, D.; and Isasi, P. 2000. In Evolutionary Methods for AI Planning, Martin Middendorf, 189-195, Las Vegas, NV (USA), July.
GP fitness functions to evolve heuristics for planning [PS.GZ] GP fitness functions to evolve heuristics for planning [bib]
Using Term Co-occurrence Data for Document Indexing and Retrieval. Billhardt, H.; Borrajo, D.; and Maojo, V. 2000. In Proceedings of the BCS-IRSG 22nd Annual Colloquium on Information Retrieval Research (IRSG2000), 105--117, Cambridge, England, April.
Using Term Co-occurrence Data for Document Indexing and Retrieval [PDF] Using Term Co-occurrence Data for Document Indexing and Retrieval [bib]
Knowledge Representation Issues in Control Knowledge Learning. Aler, R.; Borrajo, D.; and Isasi, P. 2000. In Proceedings of the Seventeenth International Conference on Machine Learning, ICML'00, Pat Langley, 1--8, Stanford, CA (USA), June-July.
Knowledge Representation Issues in Control Knowledge Learning [PS.GZ] Knowledge Representation Issues in Control Knowledge Learning [bib]
Multistrategy Relational Learning of Heuristics for Problem Solving. Borrajo, D.; Camacho, D.; and Silva, A. 1999. In Research and Development in Intelligent Systems XVI. Proceedings of Expert Systems 99, The 19th SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Max Bramer and Ann Macintosh and Frans Coenen, 57-71, Springer-Verlag, Cambridge, England, December.
Multistrategy Relational Learning of Heuristics for Problem Solving [PS.GZ] Multistrategy Relational Learning of Heuristics for Problem Solving [bib]
Knowledge-based Modeling of Processes. Sierra, A.; Aler, R.; and Borrajo, D. 1999. In Working notes of the IJCAI'99 workshop on Intelligent Workflow and Process Management: The New Frontier for AI in Business, IJCAI Press, Stockholm, Sweden, July-August.
Knowledge-based Modeling of Processes [PS.GZ] Knowledge-based Modeling of Processes [bib]
Robótica cognoscitiva y aprendizaje automático. Berlanga, A.; Borrajo, D.; Fernández, F.; García-Martínez, R.; Molina, J. M.; and Sanchis, A. 1999. In Proceedings of the CAEPIA'99, 1--8, Murcia (España), November.
Robótica cognoscitiva y aprendizaje automático [PS.GZ] Robótica cognoscitiva y aprendizaje automático [bib]
SHAMASH a Knowledge-Based System for Business Process Reengineering. Camacho, D.; Aler, R.; Borrajo, D.; Giráldez, J. I.; and Sierra, A. 1999. In Applications and Innovations in Intelligent Systems VII. Proceedings of Expert Systems 99, The 19th SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Richard Ellis, Mike Moulton and Frans Coenen, 269-282, Springer-Verlag, Cambridge, England, December.
SHAMASH a Knowledge-Based System for Business Process Reengineering [PS.GZ] SHAMASH a Knowledge-Based System for Business Process Reengineering [bib]
A Distributed Solution to the PTE Problem. Giráldez, I.; Elkan, C.; and Borrajo, D. 1999. In AAAI Spring Symposium on Predictive Toxicology, AAAI Press, Stanford, CA (USA), March.
A Distributed Solution to the PTE Problem [PS.GZ] A Distributed Solution to the PTE Problem [bib]
Distributed Decision Making in Checkers. Giráldez, J. I., and Borrajo, D. 1998. In Computers and Games. Proceedings of the First International Conference, CG'98, H. Jaap van den Herik and Hiroyuki Iida, 183--194, Springer-Verlag, Tsukuba (Japan), November.
Distributed Decision Making in Checkers [PS.GZ] Distributed Decision Making in Checkers [bib]
Genetic Programming of Control Knowledge for Planning. Aler, R.; Borrajo, D.; and Isasi, P. 1998. In Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems (AIPS-98), Reid Simmons and Manuela Veloso and Stephen Smith, 137-143, AAAI Press, Pittsburgh, PA, June. Ponencia
Genetic Programming of Control Knowledge for Planning [PS.GZ] Genetic Programming of Control Knowledge for Planning [bib]
Genetic Programming and Deductive-Inductive Learning: A Multistrategy Approach. Aler, R.; Borrajo, D.; and Isasi, P. 1998. In Proceedings of the Fifteenth International Conference on Machine Learning, ICML'98, Jude Shavlik, 10-18, Madison, Wisconsin, July.
Genetic Programming and Deductive-Inductive Learning: A Multistrategy Approach [PS.GZ] Genetic Programming and Deductive-Inductive Learning: A Multistrategy Approach [bib]
Evolving Heuristics for Planning. Aler, R.; Borrajo, D.; and Isasi, P. 1998. In Evolutionary Programming IV. Seventh International Conference, EP98, V.W. Porto, N. Saravanan, D. Waagen and A.E. Eiben, 745-754, Springer-Verlag, San Diego, CA, March.
Evolving Heuristics for Planning [PS.GZ] Evolving Heuristics for Planning [bib]
Using ABC$^2$ in the RoboCup Domain. Matellán, V.; Borrajo, D.; and Fernández, C. 1998. In RoboCup-97: Robot Soccer World Cup I, Hiroaki Kitano, 475-483, Springer-Verlag, Nagoya (Japan).
Using ABC$^2$ in the RoboCup Domain [PS.GZ] Using ABC$^2$ in the RoboCup Domain [bib]
Distributed Reinforcement Learning in Multi-Agent Decision Systems. Giráldez, J. I., and Borrajo, D. 1998. In Progress in Artificial Intelligence, Iberamia 98, Helder Coelho, 148-159, Springer-Verlag, Lisboa, Portugal, October.
Distributed Reinforcement Learning in Multi-Agent Decision Systems [PS.GZ] Distributed Reinforcement Learning in Multi-Agent Decision Systems [bib]
Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans. Borrajo, D., and Veloso, M. 1997. AI Review Journal. Special Issue on Lazy Learning, 11(1-5):371-405, February. Also in the book "Lazy Learning", David Aha (ed.), Kluwer Academic Publishers, May 1997, ISBN 0-7923-4584-3
Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans [PS.GZ] Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans [bib]
A Computational Approach to George Boole's Discovery of Mathematical Logic. Ledesma, L. de ; Pérez, A.; Borrajo, D.; and Laita, L. M. 1997. Artificial Intelligence Journal, 91(2):281-308, April.
A Computational Approach to George Boole's Discovery of Mathematical Logic [PS.GZ] A Computational Approach to George Boole's Discovery of Mathematical Logic [bib]
Planning, Learning, and Executing in Autonomous Systems. García-Martínez, R., and Borrajo, D. 1997. In Recent Advances in AI Planning. 4th European Conference on Planning, ECP'97, Sam Steel, 208-220, Springer-Verlag, Toulouse, France, September.
Planning, Learning, and Executing in Autonomous Systems [PS.GZ] Planning, Learning, and Executing in Autonomous Systems [bib]
Theory-driven historical discovery: Boole's abstract formalization of Logic. Ledesma, L. de ; Pérez, A.; Borrajo, D.; and Laita, L. M. 1995. In Working notes of the AAAI Spring Series Symposium 1995 on Systematic Methods of Scientific Discovery, 60-65, AAAI, Stanford, CA (USA), March.
Theory-driven historical discovery: Boole's abstract formalization of Logic [PS.GZ] Theory-driven historical discovery: Boole's abstract formalization of Logic [bib]
Integrating Planning and Learning: The sc prodigy Architecture. Veloso, M.; Carbonell, J.; Pérez, A.; Borrajo, D.; Fink, E.; and Blythe, J. 1995. Journal of Experimental and Theoretical AI, 7:81-120.
Integrating Planning and Learning: The sc prodigy Architecture [PS.GZ] Integrating Planning and Learning: The sc prodigy Architecture [bib]
Learning Strategy Knowledge Incrementally. Veloso, M., and Borrajo, D. 1994. In Proceedings of the Sixth IEEE International Conference on Tools with Artificial Intelligence, 484-490, IEEE Computer Society Press, New Orleans, LA, November.
Learning Strategy Knowledge Incrementally [PS.GZ] Learning Strategy Knowledge Incrementally [bib]
Incremental Learning of Quality-Oriented Control Knowledge for Planning. Borrajo, D., and Veloso, M. 1994. In Working notes of the AAAI Fall Series Symposium 1994 on Planning and Learning, New Orleans, LO, November.
Incremental Learning of Quality-Oriented Control Knowledge for Planning [PS.GZ] Incremental Learning of Quality-Oriented Control Knowledge for Planning [bib]
Multiple Target Concept Learning and Revision in Nonlinear Problem Solving. Borrajo, D., and Veloso, M. 1994. In Working notes of the ECML/MLNet Workshop on Theory Revision and Restructuring, Sicily, Italy.
Multiple Target Concept Learning and Revision in Nonlinear Problem Solving [PS.GZ] Multiple Target Concept Learning and Revision in Nonlinear Problem Solving [bib]
Incremental Learning of Control Knowledge for Nonlinear Problem Solving. Borrajo, D., and Veloso, M. 1994. In Machine Learning: ECML-94, 64-82, Springer-Verlag, Sicily, Italy.
Incremental Learning of Control Knowledge for Nonlinear Problem Solving [PS.GZ] Incremental Learning of Control Knowledge for Nonlinear Problem Solving [bib]
Bounded Explanation and Inductive Refinement for Acquiring Control Knowledge. Borrajo, D., and Veloso, M. 1993. In Proceedings of the Third International Workshop on Knowledge Compilation and Speedup Learning, 21-27, Amherst, MA, June.
Bounded Explanation and Inductive Refinement for Acquiring Control Knowledge [PS.GZ] Bounded Explanation and Inductive Refinement for Acquiring Control Knowledge [bib]
A Knowledge Compilation Model for Learning Heuristics. Borrajo, D.; Caraça-Valente, J. P.; and Pazos, J. 1992. In Proceedings of the ML92 Workshop on Knowledge Compilation and Speedup Learning, Aberdeen, Scotland.
A Knowledge Compilation Model for Learning Heuristics [bib]
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