Sfoglia per Relatore
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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
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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
Risk-averse reinforcement learning through reward transformation
2019/2020 SAINI, CHARLIE
Risk-sensitive reinforcement learning for the DVA hedging
2018/2019 PALMISANO, ALESSANDRO
Safe policy iteration : a monotonically improving approximate policy iteration approach
2011/2012 PECORINO, ALESSIO
Safe policy optimization
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