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2024 (4)

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.

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

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.

2023 (4)

Furelos-Blanco D, Law M, Jonsson A, Broda K, Russo A. Hierarchies of Reward Machines. Proceedings of Machine Learning Research 2023; 202: 10494-10541.

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).

Cipollone R, Ronca A, Jonsson A, Talebi MS. Provably Efficient Offline Reinforcement Learning in Regular Decision Processes. Advances in Neural Information Processing Systems 2023; 36.

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

2022 (4)

Segovia-Aguas J.; Celorrio S.J.; Jonsson A.. Computing Programs for Generalized Planning as Heuristic Search (Extended Abstract). IJCAI: proceedings of the conference 2022; 0(0): 5334-5338.

Infante G.; Jonsson A.; Gomez V.. Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes. Dins: -. -. -; 2022. p. 6970-6977.

Bernardino G.; Jonsson A.; Loncaric F.; Marti Castellote P.M.; Sitges M.; Clarysse P.; Duchateau N.. Reinforcement learning for active modality selection during diagnosis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022; 592-601.

Steccanella L, Jonsson A. State representation learning for goal-conditioned reinforcement learning. Dins: Amini MR, Canu S, Fischer A, Guns T, Kralj Novak P, Tsoumakas G (eds.). Machine Learning and Knowledge Discovery in Databases: European Conference (ECML PKDD 2022 ). Grenoble: Cham; Springer; 2022. p. 84-99.

2021 (9)

Nunes C.; Langet H.; De Craene M.; Camara O.; Bijnens B.; Jonsson A.. Decision tree learning for uncertain clinical measurements. IEEE Transactions on Knowledge and Data Engineering 2021; (16 january).

Agirre E, Jonsson A, Larcher A. Framing lifelong learning as autonomous deployment: tune once live forever.. Lecture Notes in Electrical Engineering 2021; 331-336.

Segovia-Aguas J, Jimenez Celorrio S, Jonsson A. Generalized planning as heuristic search. Dins: Biundo S, Do M, Goldman R, Katz M, Yang Q, Zhuo HH. Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling. Palo Alto, California: AAAI Press; 2021. p. 569-577.

Junyent M.; Gomez V.; Jonsson A.. Hierarchical width-based planning and learning. Proceedings International Conference on Automated Planning and Scheduling 2021; 519-527.

Furelos-Blanco D.; Law M.; Jonsson A.; Broda K.; Russo A.. Induction and exploitation of subgoal automata for reinforcement learning. Journal of Artificial Intelligence Research 2021; 70(0): 1031-1116.

Nikbakht R.; Jonsson A.; Lozano A.. Unsupervised Learning for C-RAN Power Control and Power Allocation. IEEE Wireless Communications Letters 2021; 25(3): 687-691.

Nikbakht R.; Jonsson A.; Lozano A.. Unsupervised Learning for Cellular Power Control. IEEE Wireless Communications Letters 2021; 25(3): 682-686.