Some items maybe missing (see Google Scholar profile for an updated list).
No results founds

2024 (17)

Butti S.; Dalmau V.. The Complexity of the Distributed Constraint Satisfaction Problem. Theory of Computing Systems 2024; 68(4): 838-867.

Calo S.; Bistaffa F.; Jonsson A.; Gomez V.; Viana M.. Spatial air quality prediction in urban areas via message passing. Engineering Applications of Artificial Intelligence 2024; 133.

Cate B.t.; Dalmau V.; Kolaitis P.G.; Wu W.L.. When Do Homomorphism Counts Help in Query Algorithms?. Leibniz international proceedings in informatics 2024; 290.

Cate B.t.; Dalmau V.; Opršal J.. Right-Adjoints for Datalog Programs. Leibniz international proceedings in informatics 2024; 290.

Dalmau V.; Krokhin A.; Opršal J.. Functors on Relational Structures which admit both left and right adjoints. SIAM Journal on Discrete Mathematics 2024; 38(3): 2041-2068.

Dalmau V.; Opršal J.. Local consistency as a reduction between constraint satisfaction problems. Proceedings - Symposium on Logic in Computer Science 2024; (0): 1-15.

Dalmau-Moreno M.; Garcia N.; Gomez V.; Geffner H.. Combined Task and Motion Planning via Sketch Decompositions. Proceedings International Conference on Automated Planning and Scheduling 2024; 34: 123-132.

Gabbianelli G, Neu G, Okolo N, Papini M. Offline Primal-Dual Reinforcement Learning for Linear MDPs. Proceedings of Machine Learning Research 2024; 238: 3169-3177.

Infante G, Jonsson A, Gómez V. Hierarchical Average-Reward Linearly-Solvable Markov Decision Processes. Frontiers in Artificial Intelligence and Applications 2024; 392(0): 1325-1332.

Infante, Guillermo; Kuric, David; Gómez, Vicenç; Jonsson, Anders; van Hoof, Herke. Using a Learned Policy Basis to Optimally Solve Reward Machines. Seventeenth European Workshop on Reinforcement Learning; 2024.

Kuric D, Infante Molina G, Gómez V, Jonsson A, Van Hoof H. Planning with a Learned Policy Basis to Optimally Solve Complex Tasks. En: Edited by Sara Bernardini, Christian Muise. Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling. 2024.

Kuric D.; Infante G.; Gomez V.; Jonsson A.; van Hoof H.. Planning with a Learned Policy Basis to Optimally Solve Complex Tasks. Proceedings International Conference on Automated Planning and Scheduling 2024; 34: 333-341.

Neu G, Olkhovskaya J, Vakili S. Adversarial Contextual Bandits Go Kernelized. Proceedings of Machine Learning Research 2024; 237: 907-929.

Taitler A.; Alford R.; Espasa J.; Behnke G.; Fišer D.; Gimelfarb M.; Pommerening F.; Sanner S.; Scala E.; Schreiber D.; Segovia-Aguas J.; Seipp J.. The 2023 International Planning Competition. AI Magazine 2024.

2023 (10)

Alvarez-Gonzalez N.; Kaltenbrunner A.; Gomez V.. Beyond Weisfeiler Lehman with Local Ego-Network Encodings. Machine Learning and Knowledge Extraction 2023; 5(4): 1234-1265.

Carrascosa-Zamacois M, Geraci G, Galati-Giordano L, Jonsson A, Bellalta B. Understanding Multi-link Operation in Wi-Fi 7: Performance, Anomalies, and Solutions. En: -. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. 2023.

Carrascosa-Zamacois M.; Galati-Giordano L.; Jonsson A.; Geraci G.; Bellalta B.. Performance and Coexistence Evaluation of IEEE 802.11be Multi-link Operation. Proceedings on IEEE Wireless Communications and Networking Conference 2023; 2023-March(0).