Sfoglia per Relatore
Impact of sentiment analysis on automatic financial trading through reinforcement learning
2018/2019 BONETTI, PAOLO
Importance sampling based transfer in reinforcement learning
2016/2017 SESSA, ANDREA
An importance weighting framework for drift adaptation in regression problems
2020/2021 Fedeli, Filippo
Improving aerodynamic load estimation algorithms for F1 racing cars
2018/2019 MUSSI, MARCO
Improving RL algorithms by human demonstrations for autonomous race driving
2018/2019 FUCCI, LUCA
Improving sub-seasonal drought forecasting via machine learning to leverage climate data at different spatial scales
2021/2022 Bosso, Francesco
Integration of GPS data into predictive models for tyre maintenance
2016/2017 PENSA, DARIO
Intelligent Object Grasping in Industrial Robotics: A Deep Reinforcement Learning Approach
2022/2023 Calcagno, Giuseppe
Interpretable ML for extreme climate event detection: drought detection in the Po River basin
2022/2023 Cardigliano, Veronica
Inverse reinforcement learning e categorizzazione di utenti. Analisi di consumi idrici in ambiente domestico
2015/2016 GALLESIO, MATTEO
Inverse reinforcement learning for water reservoirs
2021/2022 Bressan, Manuel
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
Legenda icone accesso al fulltext
- File accessibili da tutti
- File accessibili dagli utenti autorizzati
- File accessibili da tutti o solo dagli utenti autorizzati, a partire dalla la data indicata nella scheda
- File non accessibili