Sfoglia per Correlatore METELLI, ALBERTO MARIA
Batch reinforcement learning for highway driving
2019/2020 MECCHIA, ANDREA
Beyond maximum likelihood model estimation in model-based policy search
2018/2019 D'ORO, PIERLUCA
Causal analysis and drought detection: algorithms and applications in the Po River basin
2023/2024 Bucci, Teo
Causality and drought detection: a pan-european analysis
2023/2024 Tandi, Luca
Configurable Markov decision processes
2016/2017 MUTTI, MIRCO
Directed exploration in continuous-action Reinforcement Learning via uncertainty-aware agents
2021/2022 SACCO, MATTEO
Distributed reinforcement learning for large-scale networks
2023/2024 Cartechini, Giacomo
Distributed reinforcement learning for power grid operation
2023/2024 Beretta, Davide
Driving exploration through particle Q-distributions
2017/2018 LIKMETA, AMARILDO
Dynamic control frequency in reinforcement learning through action persistence
2020/2021 Al Daire, Luca
Exploiting environment configuration for policy space identification
2018/2019 MANNESCHI, GUGLIELMO
Exploration in policy search via multiple importance sampling
2017/2018 LUPO, LORENZO
Exploring the potential of reinforcement learning for automated anesthesia control
2023/2024 MERLO, MANUELA
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
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