Javier Segovia-Aguas

About Javier Segovia-Aguas

Javier Segovia-Aguas, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Universidad Pompeu Fabra, specializes in the field of Artificial Intelligence, Automated Planning, Machine Learning, Heuristic Search.

His recent articles reflect a diverse array of research interests and contributions to the field:

The 2023 International Planning Competition

Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects

Synthesis of Procedural Models for Deterministic Transition Systems

Forward Backward Novelty Search

Grounding Schematic Representation with GRINGO for Width-based Search

Learning General Policies and Helpful Action Classifiers from Partial State Spaces

Scaling-up generalized planning as heuristic search with landmarks

Representation and Synthesis of C++ Programs for Generalized Planning

Javier Segovia-Aguas Information

University

Position

___

Citations(all)

276

Citations(since 2020)

250

Cited By

88

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Javier Segovia-Aguas Skills & Research Interests

Artificial Intelligence

Automated Planning

Machine Learning

Heuristic Search

Top articles of Javier Segovia-Aguas

Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects

Artificial Intelligence

2024/2/15

Synthesis of Procedural Models for Deterministic Transition Systems

2023

Javier Segovia-Aguas
Javier Segovia-Aguas

H-Index: 6

Sergio Jiménez
Sergio Jiménez

H-Index: 1

Forward Backward Novelty Search

Proceedings of the 10th International Planning Competition (IPC-2023)

2023

Anubhav Singh
Anubhav Singh

H-Index: 1

Chao Lei
Chao Lei

H-Index: 10

Javier Segovia-Aguas
Javier Segovia-Aguas

H-Index: 6

Grounding Schematic Representation with GRINGO for Width-based Search

Proceedings of the 10th International Planning Competition (IPC-2023)

2023

Anubhav Singh
Anubhav Singh

H-Index: 1

Javier Segovia-Aguas
Javier Segovia-Aguas

H-Index: 6

Learning General Policies and Helpful Action Classifiers from Partial State Spaces

Sixth Workshop on Generalization in Planning at IJCAI-ECAI 2022

2022/7/23

Javier Segovia-Aguas
Javier Segovia-Aguas

H-Index: 6

Jendrik Seipp
Jendrik Seipp

H-Index: 13

Scaling-up generalized planning as heuristic search with landmarks

Proceedings of the International Symposium on Combinatorial Search

2022/7/17

Representation and Synthesis of C++ Programs for Generalized Planning

arXiv preprint arXiv:2206.14480

2022/6/29

Javier Segovia-Aguas
Javier Segovia-Aguas

H-Index: 6

Sergio Jiménez
Sergio Jiménez

H-Index: 1

Computing programs for generalized planning as heuristic search

arXiv preprint arXiv:2205.06259

2022/5/12

Challenge 1: Integrating knowledge, reasoning and learning

2021

Online Action Recognition

Proceedings of the AAAI Conference on Artificial Intelligence

2021/5/18

Automatic learning of cognitive exercises for socially assistive robotics

2021/8/8

Approximate novelty search

Proceedings of the International Conference on Automated Planning and Scheduling

2021/5/17

Anubhav Singh
Anubhav Singh

H-Index: 1

Javier Segovia-Aguas
Javier Segovia-Aguas

H-Index: 6

Generalized planning as heuristic search

Proceedings of the International Conference on Automated Planning and Scheduling

2021/5/17

The association for the advancement of artificial intelligence 2020 workshop program

AI Magazine

2021/3

Leveraging multiple environments for learning and decision making: a dismantling use case

2020/10/24

Generalized planning with positive and negative examples

Proceedings of the AAAI Conference on Artificial Intelligence

2020/4/3

STRIPS Action Discovery

arXiv preprint arXiv:2001.11457

2020/1/30

White Paper on Artificial Intelligence, Robotics and Data Science

2020

See List of Professors in Javier Segovia-Aguas University(Universidad Pompeu Fabra)

Co-Authors

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