M. (Matthia) Sabatelli, PhD

Assistant Professor

Faculty of Science and Engineering

Telephone:

+31 50 36 36533

E-mail:

m.sabatelli rug.nl

Homepage Research Portal

Publications

Contextual Online Imitation Learning (COIL: Using Guide Policies in Reinforcement Learning

Hill, A., Groefsema, M., Sabatelli, M., Carloni, R. & Grzegorczyk, M., Feb-2024, 16th International Conference on Agents and Artificial Intelligence. SciTePress, p. 178-185 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation

Tashu, T. M., Kontos, E.-R., Sabatelli, M. & Valdenegro-Toro, M., 12-Jan-2024, (Submitted) arXiv, 12 p.

Research output: Working paper › Preprint › Academic

Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling

Müller, A., Grumbach, F. & Sabatelli, M., 16-Oct-2024, 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024. Facchinetti, T., Cenedese, A., Bello, L. L., Vitturi, S., Sauter, T. & Tramarin, F. (eds.). IEEE, 8 p. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

How Well Do Vision Transformers (VTs) Transfer to the Non-natural Image Domain? An Empirical Study Involving Art Classification

Tonkes, V. & Sabatelli, M., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer, p. 234-250 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13801 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Machine Learning Students Overfit to Overfitting

Valdenegro-Toro, M. & Sabatelli, M., 7-Sept-2022, (Submitted) arXiv, 6 p.

Research output: Working paper › Preprint › Academic

Safe and Psychologically Pleasant Traffic Signal Control with Reinforcement Learning using Action Masking

Muller, A. & Sabatelli, M., 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022. IEEE, p. 951-958 8 p. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

All (6) publications

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