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

Risultati finali

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

Pubblicazioni

FOND planning with explicit fairness assumptions

Autori: Rodriguez, Ivan D.; Bonet, Blai; Sardina, Sebastian; Geffner, Hector
Pubblicato in: Journal of Artificial Intelligence Research, Numero 4, 2022, ISSN 1076-9757
Editore: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.13599

Learning Generalized Policies Without Supervision Using GNNs

Autori: Simon Stählberg, Blai Bonet, Hector Geffner
Pubblicato in: Proc. Int. Conf. on Principles of Knowledge Representation and Reasoning (KR), 2022
Editore: IJCAI Organization

General Policies, Serializations, and Planning Width

Autori: Bonet, Blai; Geffner, Hector
Pubblicato in: Proceedings AAAI, 2021
Editore: AAAI Press

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

Autori: Dominik Drexler, Jendrik Seipp, Hector Geffner
Pubblicato in: Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021
Editore: IJCAI Organization

Online Action Recognition

Autori: Suárez Hernández, Alejandro; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem
Pubblicato in: Proc. National Conf. on Artificial Intelligence (AAAI), 2021
Editore: AAAI Press

Learning first-order symbolic planning representations that are grounded

Autori: Andres Occhipinti, Blai Bonet, Hector Geffner
Pubblicato in: Proc. ICAPS Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning, 2022
Editore: AAAI Press
DOI: 10.48550/arxiv.2204.11902

Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width

Autori: Dominik Drexler, Jendrik Seipp, Hector Geffner
Pubblicato in: Proc. Int. Conf. on Planning and Scheduling (ICAPS), 2022
Editore: AAAI Press

Learning General Policies from Small Examples Without Supervision

Autori: Francès, Guillem; Bonet, Blai; Geffner, Hector
Pubblicato in: Proceedings AAAI, 2021
Editore: AAAI Press

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

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

Generalized Planning as Heuristic Search

Autori: Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders
Pubblicato in: Proc. Int. Conf. on Planning and Scheduling (ICAPS), 2021
Editore: AAAI Press

Flexible FOND Planning with Explicit Fairness Assumptions

Autori: Rodriguez, Ivan D.; Bonet, Blai; Sardina, Sebastian; Geffner, Hector
Pubblicato in: Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
Editore: AAAI Press

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

Autori: Geffner, Hector
Pubblicato in: Proceedings AAAI, 2022
Editore: AAAI Press

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

Autori: Ståhlberg, Simon; Bonet, Blai; Geffner, Hector
Pubblicato in: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022
Editore: AAAI Press

Probabilistic and Causal Inference: The Works of Judea Pearl

Autori: Hector Geffner, Rina Dechter, Joseph Y. Halpern (Editors)
Pubblicato in: 2022
Editore: ACM Books
DOI: 10.1145/3501714

Risultati finali

Pubblicazioni

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