Sfoglia per Relatore
Enhancing visual competencies for tool affordances in a humanoid robot
2019/2020 Sanchioni, Mattia
Eploiting channels interdependence in Internet advertising campaigns optimization
2017/2018 ZACCARDI, MARIA CHIARA
Estimation of costs and revenues based on online travel agencies' historical data
2014/2015 NECHOFSKI, ZDRAVKO
Evaluating reinforcement learning models for market making in limit order books: a multi-agent simulation study
2021/2022 Maddaloni, Federica
Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning
2017/2018 CINI, ANDREA
Exploiting continuous action space in FX trading with reinforcement learning
2022/2023 Monaco, Vito Alessandro
Exploiting environment configurability in reinforcement learning
2020/2021 Metelli, Alberto Maria
Exploiting environment configuration for policy space identification
2018/2019 MANNESCHI, GUGLIELMO
Exploiting FX trading patterns at multiple time-scales with hierarchical reinforcement learning
2021/2022 Zerman, Luca
Exploiting hyperparameter optimization and control frequency in reinforcement learning
2022/2023 Sabbioni, Luca
Exploiting monotonicity in continuum and multi armed bandit : the pricing scenario
2014/2015 SGARRO, ANDREA
Exploiting structure for transfer in reinforcement learning
2020/2021 Tirinzoni, Andrea
Exploiting temporal dependencies to predict the revenue of flight tickets
2018/2019 KULATU, ELÇIN
Exploration in policy search via multiple importance sampling
2017/2018 LUPO, LORENZO
Factored approaches for high dimensional multi-armed bandits
2015/2016 DI LORENZO, FRANCESCO
Feature selection for aerodynamic load estimation from pressure measurements for F1 racing cars
2017/2018 LAVELLI, ALESSANDRO
FX trading with reinforcement learning : an application of fitted Q iteration (FQI)
2018/2019 REHO, GIANMARCO
Generalized gradient Q iteration
2016/2017 GABBIANELLI, GERMANO
Gradient-based approach to inverse reinforcement learning by observing a not-expert demonstrator
2019/2020 Drappo, Gianluca
Hidden Markov model for single user response prediction in Digital Advertising Campaigns
2021/2022 Petrone, Thomas
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