Sfoglia per Correlatore METELLI, ALBERTO MARIA
An importance weighting framework for drift adaptation in regression problems
2020/2021 Fedeli, Filippo
Integrating behavioral cloning into a reinforcement learning pipeline
2022/2023 D'Silva, Andrea
Interpretable ML for extreme climate event detection: drought detection in the Po River basin
2022/2023 Cardigliano, Veronica
Inverse reinforcement learning for water reservoirs
2021/2022 Bressan, Manuel
Learning deterministic policies in constrained Markov decision processes with policy gradients
2023/2024 CESANI, LEONARDO
Leveraging Machine Learning for UAV trajectory planning and performance estimation
2022/2023 Drago, Simone
Meta-optimizing the trust region constraint in reinforcement learning : a parametric-agnostic approach
2020/2021 Occorso, Manuel
Modeling uncertainty in gradient inverse reinforcement learning with application to autonomous driving
2018/2019 MASCELLARO, GIUSEPPE
Multi-task feature selection for drought monitoring : a conditional mutual information approach
2021/2022 Nardi, Lorenzo
Non-cooperative configurable Markov decision processes
2019/2020 CONCETTI, ALESSANDRO
Online model selection with stochastic rising bandits
2020/2021 Pirola, Matteo
Optimal policy evaluation for policy optimization
2020/2021 Meta, Samuele
Planning in stochastic environments through policy optimization with mediator feedback
2020/2021 GERMANO, JACOPO
A reinforcement learning approach for health-behavioural recommendations to reduce cancer risk
2024/2025 DESIDERI, GLORIA
Reinforcement learning for autonomous driving : comfort and robustness to noise
2018/2019 LUCENTE, GIOVANNI
Reinforcement Learning for digital advertising cross-channel budget optimization
2024/2025 Patella, Fabio
Reinforcement learning for high-level decision making in autonomous driving
2017/2018 GIOL, RICCARDO
Reinforcement learning in configurable environments : an information theoretic approach
2017/2018 GHELFI, EMANUELE
Scalable power network control with reinforcement learning
2021/2022 Paletti, Daniele
Towards Automated Reinforcement Learning
2020/2021 Lombarda, Davide
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