Sfoglia per Relatore
Machine learning aided algorithms for predicting pollutant first-flush in urban stormwater runoff
2020/2021 Russo, Cosimo
Machine Learning approaches to increase production efficiency : an Industry 4.0 case
2017/2018 MONTALI, NICO
Market timing strategies with fitted q-iteration and action persistence
2022/2023 Paghera, Nicola
MDP transformation for risk averse reinforcement learning via state space augmentation
2019/2020 SANTAMBROGIO, DAVIDE
Measuring and modeling average customer lifetime value in a freemium noncontractual setting : mobile apps
2015/2016 MARTINELLI, ENRICO
Meta learning the step size in policy gradient methods
2020/2021 Corda, Francesco
Meta-optimizing the trust region constraint in reinforcement learning : a parametric-agnostic approach
2020/2021 Occorso, Manuel
Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization
2022/2023 CAMEROTA, FABIO
Modeling uncertainty in gradient inverse reinforcement learning with application to autonomous driving
2018/2019 MASCELLARO, GIUSEPPE
Multi-agent reinforcement learning
2021/2022 TEDESCHI, GIANMARCO
Multi-asset FX trading with FQI and action persistence
2020/2021 RIVA, ANTONIO
Multi-asset trading with reinforcement learning : an application to magic the gathering online
2016/2017 DI NAPOLI, MATTEO
Multi-task feature selection for drought monitoring : a conditional mutual information approach
2021/2022 Nardi, Lorenzo
Multi-task reinforcement learning with linear approximator under group sparsity assumption
2012/2013 CALANDRIELLO, DANIELE
Multi-UAV mission planning with a Hierarchical Reinforcement Learning approach
2021/2022 Fucci, Tiziano
Nanosatellites autonomous attitude control with deep reinforcement learning
2018/2019 EL HARIRY, MHAMED MATTEO
Nasal pathology assessment through supervised learning on computational fluid dynamics data : a preliminary study
2018/2019 BUTERA, LUCA
Neural network calibration of the two-additive factor Gaussian model. A machine learning approach to swaption pricing
2017/2018 SABBIONI, LUCA
Neutral atoms quantum computer scheduling by deep reinforcement learning
2022/2023 PERACCI, MANUEL
Non-cooperative configurable Markov decision processes
2019/2020 CONCETTI, ALESSANDRO
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