Daniel Borrajo

Professor

Universidad Carlos III de Madrid

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Papers166 papers

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Selecting goals in oversubscription planning using relaxed plans

Angel García Olaya,Tomás de la Rosa,Daniel Borrajo

Artif. Intell., (2021): 103414

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Domain-independent generation and classification of behavior traces

Daniel Borrajo,Manuela Veloso

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Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering

Daniel Borrajo,Manuela Veloso, Sameena Shah

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Guarantees for Sound Abstractions for Generalized Planning (Extended Paper)

Blai Bonet,Raquel Fuentetaja, Yolanda E-Martín,Daniel Borrajo

arXiv: Artificial Intelligence, (2019)

EIBibtex

Using Pre-Computed Knowledge for Goal Allocation in Multi-Agent Planning

Nerea Luis,Tiago Pereira,Susana Fernández,António Moreira,Daniel Borrajo,Manuela Veloso

Journal of Intelligent & Robotic Systems, no. 1 (2019): 165-190

Cited by1EIBibtex

Error Analysis and Correction for Weighted A*'s Suboptimality

Robert C. Holte, Rubén Majadas, Alberto Pozanco,Daniel Borrajo

SOCS, pp.135-139, (2019)

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Finding Centroids and Minimum Covering States in Planning

Alberto Pozanco, Yolanda E-Martín,Susana Fernández,Daniel Borrajo

ICAPS, pp.348-352, (2019)

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Guarantees for Sound Abstractions for Generalized Planning

Blai Bonet,Raquel Fuentetaja,Yolanda E-Martín,Daniel Borrajo

IJCAI, pp.1566-1573, (2019)

EIBibtex

Plan merging by reuse for multi-agent planning

Nerea Luis, Susana Fernández,Daniel Borrajo

Applied Intelligence, no. 2 (2019): 365-396

Cited by26EIBibtex

Error Analysis and Correction for Weighted A*'s Suboptimality (Extended Version)

Robert C. Holte, Ruben Majadas, Alberto Pozanco,Daniel Borrajo

arXiv: Artificial Intelligence, (2019)

EIBibtex

Counterplanning using Goal Recognition and Landmarks

Alberto Pozanco, Yolanda E.-Martín,Susana Fernández,Daniel Borrajo

IJCAI, pp.4808-4814, (2018)

Cited by19EIBibtex

Heterogeneous multi-agent planning using actuation maps

Tiago Pereira, Nerea Luis,António Paulo Moreira,Daniel Borrajo,Manuela M. Veloso,Susana Fernández

ICARSC, pp.219-224, (2018)

Cited by5EIBibtex

Special issue on goal reasoning

Mark Roberts,Daniel Borrajo,Michael Cox,Neil Yorke-Smith

AI COMMUNICATIONS, no. 2 (2018): 115-116

Cited by2EIBibtex

Efficient approaches for multi-agent planning

Daniel Borrajo,Susana Fernández

Knowledge and Information Systems, no. 2.0 (2018): 1-55

Cited by7EIBibtex

Anticipation of goals in automated planning

Raquel Fuentetaja,Daniel Borrajo,Tomás de la Rosa

AI COMMUNICATIONS, no. 2 (2018): 117-135

Cited by1EIBibtex

Learning-driven goal generation

Alberto Pozanco,Susana Fernández,Daniel Borrajo

AI COMMUNICATIONS, no. 2 (2018): 137-150

Cited by1EIBibtex

Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis

Raquel Fuentetaja,Michael W. Barley,Daniel Borrajo, Jordan Douglas,Santiago Franco,Patricia J. Riddle

AAAI, (2018)

Cited by3EIBibtex

Symbolic perimeter abstraction heuristics for cost-optimal planning

Álvaro Torralba,Carlos Linares López,Daniel Borrajo

Artificial Intelligence, (2018): 1-31

Cited by2EIBibtex

Planning for tourism routes using social networks

Isabel Cenamor,Tomás de la Rosa, Sergio Núñez,Daniel Borrajo

Expert Systems with Applications, (2017): 1-9

Cited by57EIBibtex

Using Automated Planning for Traffic Signals Control

Matija Gulić, Ricardo Olivares,Daniel Borrajo

Promet-traffic & Transportation, no. 4 (2016): 383-391

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Daniel BorrajoBinding

Papers166 papers

Daniel Borrajo