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Titolo Data di pubblicazione Autori File
Fitted Policy Search: Direct Policy Search using a Batch Reinforcement Learning Approach 1-gen-2010 MIGLIAVACCA, MARTINOPIROTTA, MATTEORESTELLI, MARCELLOBONARINI, ANDREA +
Fitted policy search 1-gen-2011 MIGLIAVACCA, MARTINOPIROTTA, MATTEORESTELLI, MARCELLOBONARINI, ANDREA +
Safe Policy Iteration 1-gen-2013 PIROTTA, MATTEORESTELLI, MARCELLO +
Sistema autonomo di sbavatura robotizzata 1-gen-2013 BASCETTA, LUCAFERRETTI, GIANNIMAGNANI, GIANANTONIOPIROTTA, MATTEORESTELLI, MARCELLOROCCO, PAOLO +
A particle-based policy for the optimal control of Markov decision processes 1-gen-2014 PIROTTA, MATTEOMANGANINI, GIORGIOPIRODDI, LUIGIPRANDINI, MARIARESTELLI, MARCELLO
Policy gradient approaches for multi-objective sequential decision making: A comparison 1-gen-2014 PIROTTA, MATTEOBASCETTA, LUCARESTELLI, MARCELLO +
Adaptive step-size for policy gradient methods 1-gen-2014 PIROTTA, MATTEORESTELLI, MARCELLOBASCETTA, LUCA
Policy Gradient Approaches for Multi-Objective Sequential Decision Making 1-gen-2014 PIROTTA, MATTEOBASCETTA, LUCARESTELLI, MARCELLO +
Optimal control to reduce emissions in gasoline engines: An iterative learning control approach for ECU calibration maps improvement 1-gen-2015 CAPORALE, DANILODEORI, LUCAMURA, ROBERTOFALSONE, ALESSANDROVIGNALI, RICCARDO MARIAGIULIONI, LUCAPIROTTA, MATTEOMANGANINI, GIORGIO
Policy gradient in Lipschitz Markov Decision Processes 1-gen-2015 PIROTTA, MATTEORESTELLI, MARCELLOBASCETTA, LUCA
Following Newton direction in Policy Gradient with parameter exploration 1-gen-2015 MANGANINI, GIORGIOPIROTTA, MATTEORESTELLI, MARCELLOBASCETTA, LUCA
Multi-objective reinforcement learning with continuous pareto frontier approximation 1-gen-2015 PIROTTA, MATTEORESTELLI, MARCELLO +
Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme 1-gen-2016 MANGANINI, GIORGIOPIROTTA, MATTEORESTELLI, MARCELLOPIRODDI, LUIGIPRANDINI, MARIA
Inverse Reinforcement Learning through Policy Gradient Minimization 1-gen-2016 PIROTTA, MATTEORESTELLI, MARCELLO
Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation 1-gen-2016 PIROTTA, MATTEORESTELLI, MARCELLO +
Compatible Reward Inverse Reinforcement Learning 1-gen-2017 METELLI, ALBERTO MARIAM. PirottaM. Restelli
Gradient-based minimization for multi-expert Inverse Reinforcement Learning 1-gen-2017 Davide TateoMatteo PirottaMarcello RestelliAndrea Bonarini
Boosted Fitted Q-Iteration 1-gen-2017 TOSATTO, SAMUELEM. PirottaC. D'EramoM. Restelli
Adaptive Batch Size for Safe Policy Gradients 1-gen-2017 PAPINI, MATTEOM. PirottaM. Restelli
Estimating the maximum expected value in continuous reinforcement learning problems 1-gen-2017 D'Eramo, CarloNuara, AlessandroPirotta, MatteoRestelli, Marcello
Mostrati risultati da 1 a 20 di 32
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