Sfoglia per Autore
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
Fitted policy search
2011-01-01 Migliavacca, Martino; A., Pecorino; Pirotta, Matteo; Restelli, Marcello; Bonarini, Andrea
Safe Policy Iteration
2013-01-01 Pirotta, Matteo; Restelli, Marcello; A., Pecorino; D., Calandriello
Sistema autonomo di sbavatura robotizzata
2013-01-01 Bascetta, Luca; Ferretti, Gianni; Ghalamzan, A.; Magnani, Gianantonio; Pirotta, Matteo; Restelli, Marcello; Rocco, Paolo
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
Policy gradient approaches for multi-objective sequential decision making: A comparison
2014-01-01 Parisi, Simone; Pirotta, Matteo; Smacchia, Nicola; Bascetta, Luca; Restelli, Marcello
Adaptive step-size for policy gradient methods
2014-01-01 Pirotta, Matteo; Restelli, Marcello; Bascetta, Luca
Policy Gradient Approaches for Multi-Objective Sequential Decision Making
2014-01-01 S., Parisi; Pirotta, Matteo; N., Smacchia; Bascetta, Luca; Restelli, Marcello
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
Policy gradient in Lipschitz Markov Decision Processes
2015-01-01 Pirotta, Matteo; Restelli, Marcello; Bascetta, Luca
Following Newton direction in Policy Gradient with parameter exploration
2015-01-01 Manganini, Giorgio; Pirotta, Matteo; Restelli, Marcello; Bascetta, Luca
Multi-objective reinforcement learning with continuous pareto frontier approximation
2015-01-01 Pirotta, Matteo; Parisi, Simone; Restelli, Marcello
Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme
2016-01-01 Manganini, Giorgio; Pirotta, Matteo; Restelli, Marcello; Piroddi, Luigi; Prandini, Maria
Inverse Reinforcement Learning through Policy Gradient Minimization
2016-01-01 Pirotta, Matteo; Restelli, Marcello
Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation
2016-01-01 Parisi, Simone; Pirotta, Matteo; Restelli, Marcello
Compatible Reward Inverse Reinforcement Learning
2017-01-01 Metelli, ALBERTO MARIA; Pirotta, M.; Restelli, M.
Gradient-based minimization for multi-expert Inverse Reinforcement Learning
2017-01-01 Tateo, Davide; Pirotta, Matteo; Restelli, Marcello; Bonarini, Andrea
Boosted Fitted Q-Iteration
2017-01-01 Tosatto, Samuele; Pirotta, M.; D'Eramo, C.; Restelli, M.
Adaptive Batch Size for Safe Policy Gradients
2017-01-01 Papini, Matteo; Pirotta, M.; Restelli, M.
Estimating the maximum expected value in continuous reinforcement learning problems
2017-01-01 D'Eramo, Carlo; Nuara, Alessandro; Pirotta, Matteo; Restelli, Marcello
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