Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach F Zanini, A Chiuso IFAC-PapersOnLine 54 (7), 691-696, 2021 | 5 | 2021 |
Managing temporal resolution in continuous value estimation: A fundamental trade-off ZV Zhang, J Kirschner, J Zhang, F Zanini, A Ayoub, M Dehghan, ... Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
A reinforcement learning approach to sensing design in resource-constrained wireless networked control systems L Ballotta, G Peserico, F Zanini 2022 IEEE 61st Conference on Decision and Control (CDC), 3914-3919, 2022 | 4 | 2022 |
Data-driven control of nonlinear systems: Learning koopman operators for policy gradient F Zanini, A Chiuso 2021 60th IEEE Conference on Decision and Control (CDC), 6491-6496, 2021 | 4 | 2021 |
Autoregressive large language models are computationally universal D Schuurmans, H Dai, F Zanini arXiv preprint arXiv:2410.03170, 2024 | 3 | 2024 |
To Compute or Not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing L Ballotta, G Peserico, F Zanini, P Dini IEEE Transactions on Network Science and Engineering, 2023 | 2 | 2023 |
Non-iterative control-oriented regularization for linear system identification A Chiuso, S Formentin, F Zanini 2020 59th IEEE Conference on Decision and Control (CDC), 2252-2257, 2020 | 2 | 2020 |
Mitigating the curse of horizon in Monte-Carlo returns A Ayoub, D Szepesvari, F Zanini, B Chan, D Gupta, BC da Silva, ... Reinforcement Learning Conference, 2024 | 1 | 2024 |
Reinforcement Learning Through the Lens of Koopman Operators-The Infinite-Dimensional Framework F Zanini Università degli studi di Padova, 2023 | | 2023 |
Value-function estimation and uncertainty propagation in Reinforcement Learning: a Koopman operator approach F Zanini, A Chiuso 2022 IEEE 61st Conference on Decision and Control (CDC), 777-782, 2022 | | 2022 |
System Identification meets Reinforcement Learning: probabilistic dynamics for regularization F Zanini Università degli studi di Padova, 2019 | | 2019 |