PIROTTA, MATTEO
PIROTTA, MATTEO
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
A particle-based policy for the optimal control of Markov decision processes
2014-01-01 Pirotta, Matteo; Manganini, Giorgio; Piroddi, Luigi; Prandini, Maria; Restelli, Marcello
Adaptive Batch Size for Safe Policy Gradients
2017-01-01 Papini, Matteo; Pirotta, M.; Restelli, M.
Adaptive step-size for policy gradient methods
2014-01-01 Pirotta, Matteo; Restelli, Marcello; Bascetta, Luca
An upper limb Functional Electrical Stimulation controller based on Reinforcement Learning: A feasibility case study.
2018-01-01 Di Febbo, D.; Ambrosini, E.; Pirotta, M.; Restelli, M.; Pedrocchi, A.; Ferrante, S.
Boosted Fitted Q-Iteration
2017-01-01 Tosatto, Samuele; Pirotta, M.; D'Eramo, C.; Restelli, M.
Compatible Reward Inverse Reinforcement Learning
2017-01-01 Metelli, ALBERTO MARIA; Pirotta, M.; Restelli, M.
Does Reinforcement Learning outperform PID in the control of FES-induced elbow flex-extension?
2018-01-01 Di Febbo, Davide; Ambrosini, Emilia; Pirotta, Matteo; Rojas, Eric; Restelli, Marcello; Pedrocchi, Alessandra L. G.; Ferrante, Simona
Estimating the maximum expected value in continuous reinforcement learning problems
2017-01-01 D'Eramo, Carlo; Nuara, Alessandro; Pirotta, Matteo; Restelli, Marcello
Fitted policy search
2011-01-01 Migliavacca, Martino; A., Pecorino; Pirotta, Matteo; Restelli, Marcello; Bonarini, Andrea
Fitted Policy Search: Direct Policy Search using a Batch Reinforcement Learning Approach
2010-01-01 Migliavacca, Martino; A., Pecorino; Pirotta, Matteo; Restelli, Marcello; Bonarini, Andrea
Following Newton direction in Policy Gradient with parameter exploration
2015-01-01 Manganini, Giorgio; Pirotta, Matteo; Restelli, Marcello; Bascetta, Luca
Gaussian approximation for bias reduction in Q-learning
2021-01-01 D'Eramo, C.; Cini, A.; Nuara, A.; Pirotta, M.; Alippi, C.; Peters, J.; Restelli, M.
Gradient-based minimization for multi-expert Inverse Reinforcement Learning
2017-01-01 Tateo, Davide; Pirotta, Matteo; Restelli, Marcello; Bonarini, Andrea
Importance Weighted Transfer of Samples in Reinforcement Learning
2018-01-01 Tirinzoni, Andrea; Sessa, Andrea; Pirotta, Matteo; Restelli, Marcello
Inverse Reinforcement Learning through Policy Gradient Minimization
2016-01-01 Pirotta, Matteo; Restelli, Marcello
Leveraging Good Representations in Linear Contextual Bandits
2021-01-01 Papini, Matteo; Tirinzoni, Andrea; Restelli, Marcello; Lazaric, Alessandro; Pirotta, Matteo
Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation
2016-01-01 Parisi, Simone; Pirotta, Matteo; Restelli, Marcello
Multi-objective reinforcement learning with continuous pareto frontier approximation
2015-01-01 Pirotta, Matteo; Parisi, Simone; Restelli, Marcello
On the use of the policy gradient and Hessian in inverse reinforcement learning
2020-01-01 Metelli, A. M.; Pirotta, M.; Restelli, M.
Optimal control to reduce emissions in gasoline engines: An iterative learning control approach for ECU calibration maps improvement
2015-01-01 Caporale, Danilo; Deori, Luca; Mura, Roberto; Falsone, Alessandro; Vignali, RICCARDO MARIA; Giulioni, Luca; Pirotta, Matteo; Manganini, Giorgio