Simone Totaro

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Markov Decision Processes

Reinforcement Learning

Activation Function

Recurrent Neural Networks

Top Venues

Publications

Lorenzo Steccanella, Simone Totaro, Anders Jonsson
Hierarchical Representation Learning for Markov Decision Processes. CoLLAs (2023)
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)
Lorenzo Steccanella, Simone Totaro, Anders Jonsson
Hierarchical Representation Learning for Markov Decision Processes. CoRR (2021)
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)
Simone Totaro, Anders Jonsson
Fast Stochastic Kalman Gradient Descent for Reinforcement Learning. L4DC (2021)
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 (2021)
Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez
Adaptive Smoothing for Path Integral Control. J. Mach. Learn. Res. 21 (2020)
Lorenzo Steccanella, Simone Totaro, Damien Allonsius, Anders Jonsson
Hierarchical reinforcement learning for efficient exploration and transfer. CoRR (2020)
Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez
Adaptive Smoothing Path Integral Control. CoRR (2020)
Simone Totaro, Ioannis Boukas, Anders Jonsson, Bertrand Cornélusse
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning. CoRR (2020)
Simone Totaro, Amir Hussain, Simone Scardapane
A non-parametric softmax for improving neural attention in time-series forecasting. Neurocomputing 381 (2020)
Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini
Kafnets: Kernel-based non-parametric activation functions for neural networks. Neural Networks 110 (2019)
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions. CoRR (2018)
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini
Recurrent Neural Networks with flexible Gates using Kernel activation Functions. MLSP (2018)