Sergio Jiménez Celorrio
Bio
Sergio Jiménez Celorrio is Profesor Titular at the Universitat Politècnica de València. Previously, Sergio was a Ramón y Cajal fellow, a post-doc researcher at the University of Melbourne, a Juan de la Cierva fellow at the Universitat Pompeu Fabra de Barcelona and teaching assistant at the Universidad Carlos III de Madrid, where he obtained the Distinguished Thesis Award 2011. Sergio was invited to the Sister Conferences Best Papers of IJCAI 2022, he is the recipient of the IJCAI 2016 distinguished paper award, co-organizer of the 7th International Planning Competition and program committee at several top international conferences on Artificial Intelligence. His main research interest is understanding the synergies between automated planning, Bayesian inference, and machine learning.
Publications
- Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. Artificial Intelligence Journal (AIJ). 2024.
- Synthesis of Procedural Models for Deterministic Transition Systems
Javier Segovia-Aguas, Jonathan Ferrer-Mestres and Sergio Jiménez. European Conference on Artificial Intelligence. 2023.
- Computing Programs for Generalized Planning as Heuristic Search
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. International Joint Conference on Artificial Intelligence. 2022. (Sister Conferences Best Paper)
- A Comprehensive Framework for Learning Declarative Action Models
Diego Aineto, Sergio Jiménez and Eva Onaindia. Journal of Artificial Intelligence Research. 2022.
- Scaling-up Generalized Planning as Heuristic Search with Landmarks
Javier Segovia-Aguas, Sergio Jiménez, Laura Sebastiá and Anders Jonsson. International Symposium on Combinatorial Search. 2022.
- Representation and Synthesis of C++ Programs for Generalized Planning
Javier Segovia-Aguas, Yolanda E-Martín and Sergio Jiménez. IJCAI22 Workshop on Generalization in Planning. 2022.
- Inference and Learning with Planning Models
Diego Aineto García. PhD Thesis. Universitat Politècnica de València. 2022.
- Generalized Planning as Heuristic Search
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. International Conference on Automated Planning and Scheduling. 2021.
- Generalized Temporal Inference via Planning
Diego Aineto, Sergio Jiménez and Eva Onaindia. International Conference on Principles of Knowledge Representation and Reasoning. 2021.
- Observation decoding with sensor models: recognition tasks via classical planning
Diego Aineto, Sergio Jiménez and Eva Onaindia. International Conference on Automated Planning and Scheduling. 2020.
- Generalized Planning with Positive and Negative Examples
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. AAAI Conference on Artificial Intelligence. 2020.
- Explanation-Based Learning of Action Models
Diego Aineto, Sergio Jiménez and Eva Onaindia. Knowledge Engineering Tools and Techniques for AI Planning. 2020.
- Learning Temporal Action Models via Constraint Programming
Antonio Garrido and Sergio Sergio Jiménez. European Conference on Artificial Intelligence. 2020.
- Learning action models with minimal observability
Diego Aineto, Sergio Jiménez and Eva Onaindia. Artificial Intelligence Journal (AIJ). 2019.
- Model Recognition as Planning
Diego Aineto, Sergio Jiménez, Eva Onaindia and Miquel Ramírez. International Conference on Automated Planning and Scheduling. 2019.
- Computing programs for generalized planning using a classical planner
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. Artificial Intelligence Journal (AIJ). 2019.
- A review of generalized planning
Sergio Jiménez, Javier Segovia-Aguas and Anders Jonsson. The Knowledge Engineering Review (KER). 2019.
- One-shot learning: From domain knowledge to action models
Diego Aineto, Sergio Jiménez and Eva Onaindia. ICAPS'19 Workshop Knowledge Engineering for Planning and Scheduling. 2019.
- Computing Hierarchical Finite State Controllers with Classical Planning
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. Journal of Artificial Intelligence Research (JAIR). 2018.
- Learning STRIPS action models with classical planning
Diego Aineto, Sergio Jiménez and Eva Onaindia. International Conference on Automated Planning and Scheduling. 2018.
- Forward-Search Temporal Planning with Simultaneous Events
Daniel Furelos-Blanco, Anders Jonsson, Héctor Palacios and Sergio Jiménez. ICAPS'18 Workshop Constraint Satisfaction Techniques for Planning and Scheduling. 2018.
- A common framework for learning causality
Eva Onaindia, Diego Aineto and Sergio Jiménez. Progress in Artificial Intelligence. 2018.
- Generating Context-Free Grammars using Classical Planning
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. International Joint Conference on Artificial Intelligence. 2017.
- Unsupervised classification of planning tasks
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. International Conference on Automated Planning and Scheduling. 2017.
- Hierarchical Finite State Controllers for Generalized Planning
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. International Joint Conference on Artificial Intelligence. 2016. (Distinguished paper award)
- Automatic Generation of High-Level State Features for Generalized Planning
Damir Lotinac, Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. International Joint Conference on Artificial Intelligence. 2016.
-
Generalized Planning With Procedural Domain Control Knowledge
Javier Segovia-Aguas, Sergio Jiménez and Anders Jonsson. International Conference on Automated Planning and Scheduling. 2016.
- Computing Plans with Control Flow and Procedures using a Classical Planner
Sergio Jiménez and Anders Jonsson. International Symposium on Combinatorial Search (SOCS). 2015.
- Temporal Planning With Required Concurrency Using Classical Planning
Sergio Jiménez, Anders Jonsson and Héctor Palacios. International Conference on Automated Planning and Scheduling. 2015.
- The deterministic part of the Seventh International Planning Competition
Carlos Linares López, Sergio Jiménez and Angel García Olaya. Artificial Intelligence Journal (AIJ). 2015.
- Automating the Evaluation of Planning Systems
Carlos Linares López, Sergio Jiménez and Malte Helmert. AI Communications. 2013.
- Pruning bad quality causal links in sequential satisfying planning
Sergio Jiménez, Patrik Haslum and Sylvie Thiebaux. ICAPS'13 Workshop on AI Planning and Learning. Rome, Italy. 2013
- Hands-On Planning: Evaluating planners
Sergio Jiménez and Carlos Linares López. Summer School ICAPS 2013. Perugia, Italy. 2013.
- Integrating Planning, Execution and Learning to Improve Plan Execution
Sergio Jiménez, Fernando Fernández and Daniel Borrajo. Computational Intelligence. vol. 29, issue 01, pp. 1-36. 2013.
- A Survey of the Seventh International Planning Competition
Amanda Coles, Andrew Coles, Angel García Olaya, Sergio Jiménez, Carlos Linares López, Scott Sanner and Sungwook Yoon. AI Magazine. vol. 33, issue 01. 2012.
- 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 (KER). vol. 27, issue 04, pp. 433-467. 2012.
- Scaling-up Heuristic Planning with Relational Decision Trees
Tomás de la Rosa, Sergio Jiménez, Raquel Fuentetaja and Daniel Borrajo. Journal of Artificial Intelligence Research (JAIR). 2011.
- Optimizing Hidden Markov Models for Ocean Feature Detection
Sandeep Kumar, Sergio Jiménez, Deepak Khemani, Frederic Py and Kanna Rajan. FLAIRS-2011: The 24th International Florida Artificial Intelligence Research Society Conference. Palm Beach, FL, USA 2011.
- Planning & Learning Under Uncertainty
PhD Thesis. Departamento de Informática. Universidad Carlos III de Madrid. 2011. (Distinguished Thesis award)
- Learning Identification Models for In-situ Sampling of Ocean features
Sergio Jiménez, Frederic Py and Kanna Rajan. RSS'10 Workshop on Active Learning for Robotics. Univeridad de Zaragoza, Spain. 2010.
- Three Relational Learning Approaches for Lookahead Heuristic Planning
Tomás de la Rosa, Sergio Jiménez, Rocío García-Durán, Fernando Fernández, Angel García-Olaya,Daniel Borrajo. ICAPS'09 Workshop on AI Planning and Learning. Thessaloniki, Greece. 2009.
- Improving Automated Planning with Machine Learning
Susana Fernández, Sergio Jiménez and Tomás de la Rosa. Handbook of Research on Machine Learning Applications and Trends. 2009.
- ROLLER: A Lookahead Planner Guided by Relational Decision Trees
Tomás de la Rosa and Sergio Jiménez. International Planning Competition 2008 (Learning Part).
- Learning Relational Decision Trees for Guiding Heuristic Planning
Tomás de la Rosa, Sergio Jiménez and Daniel Borrajo. 18th International Conference on Automated Planning and Scheduling 2008 (ICAPS-08). Sydney, Australia.
- The PELA architecture: integrating planning and learning to improve execution
Sergio Jiménez, Fernando Fernández and Daniel Borrajo. AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA, 2008.
- Learning based planning
Sergio Jiménez and Tomás de la Rosa. Encyclopedia of Artificial Intelligence. Edited By: Juan R. Rabuñal, Julian Dorado and Alejandro Pazos Sierra. University of A Coruña, Spain 2007.
- Cognitive Abilities in Agents
Beatriz López, Susana Fernández, Javier Bajo, Juan M. Corchado, Raquel Fuentetaja, Manuel González, David Isern, Sergio Jiménez and Aida Valls. Issues in Multi-Agent Systems. The AgentCities.ES Experience. Birkhauser 2007.
- Learning action durations from executions
Jesús Lanchas, Sergio Jiménez, Fernando Fernández and Daniel Borrajo. ICAPS'07 Workshop on AI Planning and Learning. Providence, Rhode Island, USA. 2007.
- Learning actions success patterns from execution
Sergio Jiménez. Doctoral Consortium of the International Conference on Automated Planning & Scheduling, ICAPS'07. Providence, Rhode Island, USA. 2007.
- Planning in probabilistic domains using a deterministic numeric planner
Sergio Jiménez, Andrew Coles and Amanda Smith. PLANSIG-06. Nottingham. UK. 2006.
- Combining ILP and Parameter Estimation to Plan Robustly in Probabilistic Domains
Sergio Jiménez and James Cussens. Conference on Inductive Logic Programming. Santiago de Compostela, ILP2006. Spain. 2006.
- Inducing non-deterministic actions behaviour to plan robustly in probabilistic domains
Sergio Jiménez, Fernando Fernández and Daniel Borrajo. ICAPS'06 Workshop on Planning under Uncertainty and Execution Control for Autonomous Systems. Lake District, Cumbria, UK. 2006.
- Capturing knowledge about the instances behavior in probabilistic domains
Sergio Jiménez, Fernando Fernández and Daniel Borrajo. PLANSIG-05. London. UK. 2005.
- Machine learning of plan robustness knowledge about instances
Sergio Jiménez, Fernando Fernández and Daniel Borrajo. European Conference on Machine Learning, ECML2005. Porto. Portugal. 2005.
- Machine learning of plan robustness knowledge about instances
Sergio Jiménez. Doctoral Consortium of the International Conference on Automated Planning & Scheduling, ICAPS'05. Monterey, CA. USA. 2005.
Resources