Sfoglia per Relatore
Partial observability in autonomous driving
2019/2020 MENCHETTI, PIETRO
Planning in stochastic environments through policy optimization with mediator feedback
2020/2021 GERMANO, JACOPO
A policy gradient approach for multi-UAV control in complex continuous environments
2020/2021 Pacciani, Matteo
Predictive model for drilling phase duration of oil & gas wells
2017/2018 De TOGNI, RICCARDO
Provably efficient algorithms for the reinforcement learning problem with expert advisors
2019/2020 Taormina, Giacomo
Regret minimization algorithms for the follower's behavior identification in leadership games
2016/2017 BISI, LORENZO
Reinforcement learning for autonomous driving : comfort and robustness to noise
2018/2019 LUCENTE, GIOVANNI
Reinforcement learning for DVA hedging
2017/2018 VIT, GIORGIO
Reinforcement learning for high-level decision making in autonomous driving
2017/2018 GIOL, RICCARDO
Reinforcement learning for market and limit orders placement in a Forex trading scenario
2021/2022 ROMANÒ, FRANCESCO
Reinforcement learning for optimal execution
2020/2021 Marsico, Alessandro
Reinforcement learning for optimal execution in the cryptocurrency market
2021/2022 Ascione, Raffaele
Reinforcement learning for the debt value adjustment hedging
2015/2016 CROTTI, MARCO GIOVANNI
Reinforcement learning in configurable environments : an information theoretic approach
2017/2018 GHELFI, EMANUELE
Reinforcement learning through adaptive policy spaces
2018/2019 PELOSI, GIOVANNI
Reinforcement learning-based trading model for us sectors
2022/2023 MULATTIERI, GIULIA
Relational Reinforcement Learning with the Algorithm TG
2009/2010 YU CHANG, CRISTINA HOHAN
Reward estimation of risk sensitive agents via gradient based inverse reinforcement learning
2019/2020 SANDRELLI, FEDERICO
Reward-free policy space compression for learning in Markov decision processes
2019/2020 Del COL, STEFANO
Risk averse trees for learning from logged bandit feedback
2015/2016 SIMONE, PAOLO
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