Sfoglia per Relatore
Latent variable-based reinforcement learning for fx trading
2021/2022 Mundo, Adriano
Learning from expert demonstrations on F1 simulators, with transfer learning across different vehicle setups
2019/2020 Paterniti Isabella, Claudio
Learning to explore multiple environments via reward-free reinforcement learning
2019/2020 MANCASSOLA, MATTIA
Leveraging Machine Learning for UAV trajectory planning and performance estimation
2022/2023 Drago, Simone
Lo Stratega : predicting Formula 1 race strategies with reinforcement learning
2021/2022 MARINARO, DAVIDE
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
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