| Publications |
- Performance Modelling of Planners from Homogeneous Problem Sets.
Tomas De la Rosa, Isabel Cenamor and Fernando Fernandez.
Proceedings of the 27th. International Conference on Automated Planning and Scheduling, (2017)
[pdf]
[bibtex][Ask me for problem sets]
- The IBaCoP Planning System: Instance-Based Configured Portfolios.
Isabel Cenamor, Tomas De la Rosa and Fernando Fernandez.
Journal of Artificial Intelligence Research 56 (2016).
[pdf]
[bibtex]
- Bagging Strategies for Learning Planning Policies.
Tomas de la Rosa and Raquel Fuentetaja.
Annals of Mathematics and Artificial Intelligence, 79(4), (2017)
[bibtex]
[Springer link]
- Anticipatory Search as Partial Satisfaction Planning with State Dependent Costs
Daniel Borrajo, Raquel Fuentetaja and Tomás de la Rosa
Proceedings of 4th Workshop on Goal Reasoning (IJCAI'16), 2016
- Compiling Irrelevant Objects to Counters: Special Case of Creation Planning
Raquel Fuentetaja and Tomas de la Rosa
AI Communications, Vol 29, Num 3, 2016.
[url]
[bibtex]
- Planning with Ensembles of Classifiers.
Alberto Garbajosa, Tomás de la Rosa and Raquel Fuentetaja.
Proceedings of the 21st. European Conference on Artificial Intelligence (ECAI), 2014.
- Using Automated Planning for Improving Data Mining Processes.
Susana Fernandez, Tomas de la Rosa, Fernando Fernandez, Ruben Suarez, Javier Ortiz, Daniel Borrajo and David Manzano.
The Knowledge Engineering Review, 28 (2), 2013.
[url]
- Learning Predictive Models to Configure Planning Portfolios.
Isabel Cenamor, Tomas De la Rosa and Fernando Fernandez.
Proceedings of the 4th. Workshop on Planning and Learning.
[pdf]
- A Case-based approach to Heuristic Planning.
Tomas de la Rosa, Angel Garcia-Olaya and Daniel Borrajo.
Applied Intelligence. 2013.
[Sgringer link]
- A Review of Machine Learning for Automated Planning.
Sergio Jiménez, Tomás de la Rosa, Susana Fernández, Fernando Fernández and Daniel Borrajo.
The Knowledge Engineering Review (2012) Vol. 27, Issue 4. pp 433-467.
[draft]
[bibtex]
- Scaling up Heuristic Planning with Relational Decision Trees.
Tomás de la Rosa, Sergio Jiménez, Raquel Fuentetaja and Daniel Borrajo.
Journal of Artificial Intelligence Research 40 (2011).
[pdf]
[bibtex]
- Using the Relaxed Plan Heuristic to Select Goals in Oversubscription Planning Problems
Angel Garcia-Olaya, Tomas de la Rosa and Daniel Borrajo.
Proceedings of the Spanish AI Association Conference (CAEPIA), 2011
(best paper award).
- Learning Domain Control Knowledge for TLPlan and Beyond.
Tomás de la Rosa and Sheila McIlraith.
Proceedings of the 3rd. Workshop on Planning and Learning (ICAPS 2011).
[pdf]
- On the importance of breaking ties in the relaxed plan heuristic.
Tomás de la Rosa and Raquel Fuentetaja.
Journal of Experimental and Theoretical Artificial Intelligence (in press)
- Learning Relational Decision Trees for Guiding Heuristic Planning.
Tomás de la Rosa, Sergio Jiménez and Daniel Borrajo. Proceedings of
the 18th Int. Conf. on Automated Planning and Scheduling 2008 (ICAPS-08).
Sydney, Australia. [pdf]
[bib]
- Tomás de la Rosa. Case-based Search Control for Heuristic
Planning. In Working notes of the ICAPS 2007 Doctoral
Consortium. Providence, Rhode Island, USA. Septermber 2007.[pdf]
- Tomás de la Rosa, Angel García Olaya and Daniel Borrajo. Using
Cases Utility for Heuristic Planning Improvement. Proceedings of
the 7th International Conference on Case-Based Reasoning. August
2007, Belfast Northern Ireland. Springer-Verlag.[pdf]
- Tomás de la Rosa, Angel García Olaya and Daniel Borrajo.
Case-Based Recommendation for Node Ordering in Planning.
Proceedings of the 20th International FLAIRS Conference, Key
West Florida, USA, May 2007. AAAI Press.
[pdf]
- Tomás de la
Rosa, Daniel Borrajo, and Angel García-Olaya. Replaying Type Sequences
in Forward Heuristic Planning. In Wheeler Ruml and Frank Hutter,
editors, Working notes of the AAAI'06 Workshop on Learning for
Search, Boston, MA (USA), July 2006. AAAI Press. Poster.
[pdf]
- Tomás de la
Rosa y Raquel Fuentetaja. Integrating Actions Precondition Difficulty
within the Relaxed Plan Heuristic Measure. Working notes of
the AAAI'06 Workshop on Heuristic Search, Memory based Heuristic and
their Applications, Boston, MA (USA), July 2006. AAAI Press.
[pdf]
|
|
|
