Sabatelli, Matthia

7 publications

TMLR 2025 Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning Aleksandar Todorov, Juan Cardenas-Cartagena, Rafael F. Cunha, Marco Zullich, Matthia Sabatelli

NeurIPS 2025 \(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs Erwan Escudie, Matthia Sabatelli, Olivier Buffet, Jilles Steeve Dibangoye

TMLR 2023 Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso, Matthia Sabatelli, Marco A. Wiering

ECCVW 2022 How Well Do Vision Transformers (VTs) Transfer to the Non-Natural Image Domain? an Empirical Study Involving Art Classification Vincent Tonkes, Matthia Sabatelli

NeurIPSW 2022 Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso, Matthia Sabatelli, Marco A. Wiering

NeurIPSW 2021 On the Transferability of Deep-Q Networks Matthia Sabatelli, Pierre Geurts

ECCVW 2018 Deep Transfer Learning for Art Classification Problems Matthia Sabatelli, Mike Kestemont, Walter Daelemans, Pierre Geurts