Sfoglia per Relatore
Balancing safety and exploration in policy gradient
2017/2018 BATTISTELLO, ANDREA
Batch reinforcement learning for highway driving
2019/2020 MECCHIA, ANDREA
Bayesian learning for flight tickets pricing with performance-based bonus
2015/2016 MAPELLI, DARIO
Beyond maximum likelihood model estimation in model-based policy search
2018/2019 D'ORO, PIERLUCA
Black-box calibration of interest rate models for the pricing of swaptions
2016/2017 DONATI, ANDREA
Boosted fitted Q-iteration
2015/2016 TOSATTO, SAMUELE
Breakpoint prediction for the abruptly-changing non-stationary multi-armed bandit problem
2017/2018 CHIUSANO, FABIO
Challenges and Opportunities in Multi-Agent Reinforcement Learning
2020/2021 Ramponi, Giorgia
Comparative analysis of natural language processing and gradient boosting trees approaches for fraud detection
2022/2023 LERMA, LUDOVICA
Compatible reward inverse reinforcement learning
2016/2017 METELLI, ALBERTO MARIA
Configurable Markov decision processes
2016/2017 MUTTI, MIRCO
Controlling lithium-ion batteries through reinforcement learning
2021/2022 Pindaro, Oscar Francesco
Controllo di un gruppo di ascensori tramite apprendimento per rinforzo con selezione delle variabili
2012/2013 LUCINI PAIONI, ALBERTO
Customer behavior and sales data forecasting with Markov Chain models
2022/2023 CACCAVALE, MATTEO
Customer churn prediction in a slow fashion e-commerce context : an analysis of the effect of static data in customer churn prediction
2021/2022 COLASANTI, LUCA
Cutting back on MDP's features. A theoretically grounded approach to feature selection in reinforcement learning
2018/2019 BALLABIO, GUIDO DINO
Cutting plane methods for inverse reinforcement learning
2013/2014 BALLOCCU, STEFANO
Dealing with partial information in follower's behavior identification
2018/2019 MAFFIOLI, MATTIA
Deep feature extraction for sample-efficient reinforcement learning
2016/2017 GRATTAROLA, DANIELE
Deep generative models for predicting Alzheimer's disease progression from MR data
2016/2017 MILANA, DILETTA
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