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Simone Totaro
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2020 – today
- 2023
- [c5]Lorenzo Steccanella, Simone Totaro, Anders Jonsson:
Hierarchical Representation Learning for Markov Decision Processes. CoLLAs 2023: 568-585 - 2022
- [c4]Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado
, Pablo Samuel Castro, Nicolas Le Roux:
A general class of surrogate functions for stable and efficient reinforcement learning. AISTATS 2022: 8619-8649 - 2021
- [c3]Simone Totaro, Anders Jonsson:
Fast Stochastic Kalman Gradient Descent for Reinforcement Learning. L4DC 2021: 1118-1129 - [c2]Manuel Del Verme, Åvald Åslaugson Sommervoll, László Erdödi, Simone Totaro, Fabio Massimo Zennaro
SQL Injections and Reinforcement Learning: An Empirical Evaluation of the Role of Action Structure. NordSec 2021: 95-113 - [i6]Lorenzo Steccanella, Simone Totaro, Anders Jonsson:
Hierarchical Representation Learning for Markov Decision Processes. CoRR abs/2106.01655 (2021) - [i5]Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mueller, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux:
A functional mirror ascent view of policy gradient methods with function approximation. CoRR abs/2108.05828 (2021) - 2020
- [j3]Simone Totaro, Amir Hussain, Simone Scardapane
A non-parametric softmax for improving neural attention in time-series forecasting. Neurocomputing 381: 177-185 (2020) - [j2]Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez:
Adaptive Smoothing for Path Integral Control. J. Mach. Learn. Res. 21: 191:1-191:37 (2020) - [i4]Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez:
Adaptive Smoothing Path Integral Control. CoRR abs/2005.06364 (2020) - [i3]Simone Totaro, Ioannis Boukas, Anders Jonsson, Bertrand Cornélusse:
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning. CoRR abs/2005.08006 (2020) - [i2]Lorenzo Steccanella, Simone Totaro, Damien Allonsius, Anders Jonsson:
Hierarchical reinforcement learning for efficient exploration and transfer. CoRR abs/2011.06335 (2020)
2010 – 2019
- 2019
- [j1]Simone Scardapane
Kafnets: Kernel-based non-parametric activation functions for neural networks. Neural Networks 110: 19-32 (2019) - 2018
- [c1]Simone Scardapane, Steven Van Vaerenbergh
Recurrent Neural Networks with flexible Gates using Kernel activation Functions. MLSP 2018: 1-6 - [i1]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini:
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions. CoRR abs/1807.04065 (2018)
Coauthor Index
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