From Data-based to Model-based AI: Representation Learning for Planning

Información del proyecto

RLeap

Identificador del acuerdo de subvención: 885107

DOI

10.3030/885107

Fecha de la firma de la CE 24 Abril 2020

Fecha de inicio 1 Octubre 2020

Fecha de finalización 31 Marzo 2026

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 2 498 625,00

Aportación de la UE

€ 2 498 625,00

Coordinado por

RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Open Research Data Pilot (1)

Data Management Plan (DMP).

The Open Research Data Pilot will be prepared and submitted to the European Commission.

Publicaciones

Peer reviewed articles (4)

FOND planning with explicit fairness assumptions

Autores: Rodriguez, Ivan D.; Bonet, Blai; Sardina, Sebastian; Geffner, Hector
Publicado en: Journal of Artificial Intelligence Research, Edición 4, 2022, ISSN 1076-9757
Editor: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.13599

On Policy Reuse: An Expressive Language for Representing and Executing General Policies that Call Other Policies

Autores: Blai Bonet, Dominik Drexler, Héctor Geffner
Publicado en: Proceedings of the International Conference on Automated Planning and Scheduling, Edición 34, 2024, Página(s) 31-39, ISSN 2334-0843
Editor: AAAI Press
DOI: 10.1609/icaps.v34i1.31458

General Policies, Subgoal Structure, and Planning Width

Autores: Blai Bonet, Hector Geffner
Publicado en: Journal of Artificial Intelligence Research, Edición 80, 2024, Página(s) 475-516, ISSN 1076-9757
Editor: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.15581

Combined Task and Motion Planning via Sketch Decompositions

Autores: Magí Dalmau Moreno, Néstor García, Vicenç Gómez, Héctor Geffner
Publicado en: Proceedings of the International Conference on Automated Planning and Scheduling, Edición 34, 2024, Página(s) 123-132, ISSN 2334-0843
Editor: AAAI Press
DOI: 10.1609/icaps.v34i1.31468

Conference proceedings (17)

Learning Generalized Policies Without Supervision Using GNNs

Autores: Simon Stählberg, Blai Bonet, Hector Geffner
Publicado en: Proc. Int. Conf. on Principles of Knowledge Representation and Reasoning (KR), 2022
Editor: IJCAI Organization

General Policies, Serializations, and Planning Width

Autores: Bonet, Blai; Geffner, Hector
Publicado en: Proceedings AAAI, 2021
Editor: AAAI Press

Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches.

Autores: Dominik Drexler, Jendrik Seipp, Hector Geffner
Publicado en: Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021
Editor: IJCAI Organization

Online Action Recognition

Autores: Suárez Hernández, Alejandro; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem
Publicado en: Proc. National Conf. on Artificial Intelligence (AAAI), 2021
Editor: AAAI Press

Learning first-order symbolic planning representations that are grounded

Autores: Andres Occhipinti, Blai Bonet, Hector Geffner
Publicado en: Proc. ICAPS Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning, 2022
Editor: AAAI Press
DOI: 10.48550/arxiv.2204.11902

Learning General Policies with Policy Gradient Methods

Autores: Simon Ståhlberg, Blai Bonet, Hector Geffner
Publicado en: Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning, 2023, Página(s) 647-657, ISBN 978-1-956792-02-7
Editor: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/kr.2023/63

Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains

Autores: Till Hofmann, Hector Geffner
Publicado en: Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, 2024, ISBN 978-1-956792-04-1
Editor: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2024/744

Learning to Ground Existentially Quantified Goals

Autores: Martin Funkquist, Simon Ståhlberg, Hector Geffner
Publicado en: Proc. Int. Conf. on Knowledge Representation and Reasoning, 2024
Editor: IJCAI Org

Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width

Autores: Dominik Drexler, Jendrik Seipp, Hector Geffner
Publicado en: Proc. Int. Conf. on Planning and Scheduling (ICAPS), 2022
Editor: AAAI Press

Learning General Policies from Small Examples Without Supervision

Autores: Francès, Guillem; Bonet, Blai; Geffner, Hector
Publicado en: Proceedings AAAI, 2021
Editor: AAAI Press

Symmetries and Expressive Requirements for Learning General Policies

Autores: Dominik Drexler, Simon Ståhlberg, Blai Bonet, Hector Geffner
Publicado en: Proc. Int. Conf. on Knowledge Representation and Reasoning, 2024
Editor: IJCAI Org.

Learning Hierarchical Policies by Iteratively Reducing the Width of Sketch Rules

Autores: Dominik Drexler, Jendrik Seipp, Hector Geffner
Publicado en: Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning, 2023, Página(s) 208-218
Editor: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/kr.2023/21

Learning First-Order Representations for Planning from Black Box States: New Results

Autores: Ivan D. Rodriguez; Blai Bonet; Javier Romero; Hector Geffner
Publicado en: Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021
Editor: IJCAI Organization
DOI: 10.24963/kr.2021/51

Generalized Planning as Heuristic Search

Autores: Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders
Publicado en: Proc. Int. Conf. on Planning and Scheduling (ICAPS), 2021
Editor: AAAI Press

Flexible FOND Planning with Explicit Fairness Assumptions

Autores: Rodriguez, Ivan D.; Bonet, Blai; Sardina, Sebastian; Geffner, Hector
Publicado en: Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
Editor: AAAI Press

Target Languages (vs. Inductive Biases) for Learning to Act and Plan

Autores: Geffner, Hector
Publicado en: Proceedings AAAI, 2022
Editor: AAAI Press

Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits

Autores: Ståhlberg, Simon; Bonet, Blai; Geffner, Hector
Publicado en: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022
Editor: AAAI Press

Monographic books (1)

Probabilistic and Causal Inference: The Works of Judea Pearl

Autores: Hector Geffner, Rina Dechter, Joseph Y. Halpern (Editors)
Publicado en: 2022
Editor: ACM Books
DOI: 10.1145/3501714