Sfoglia per Autore
Compatible Reward Inverse Reinforcement Learning
2017-01-01 Metelli, ALBERTO MARIA; Pirotta, M.; Restelli, M.
Content-based approaches for cold-start job recommendations
2017-01-01 Bianchi, M.; Cesaro, F.; Ciceri, F.; Dagrada, M.; Gasparin, A.; Grattarola, D.; Inajjar, I.; Metelli, A. M.; Cella, L.
Policy optimization via importance sampling
2018-01-01 Metelli, A. M.; Papini, M.; Faccio, F.; Restelli, M.
Configurable Markov Decision Processes
2018-01-01 Metelli, Alberto Maria; Mutti, Mirco; Restelli, Marcello
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters
2019-01-01 Metelli, ALBERTO MARIA; Likmeta, Amarildo; Restelli, Marcello
Optimistic Policy Optimization via Multiple Importance Sampling
2019-01-01 Papini, Matteo; Metelli, Alberto Maria; Lupo, Lorenzo; Restelli, Marcello
Reinforcement Learning in Configurable Continuous Environments
2019-01-01 Metelli, ALBERTO MARIA; Ghelfi, Emanuele; Restelli, Marcello
Feature Selection via Mutual Information: New Theoretical Insights
2019-01-01 Beraha, M.; Metelli, A. M.; Papini, M.; Tirinzoni, A.; Restelli, M.
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
2020-01-01 Metelli, ALBERTO MARIA; Mazzolini, Flavio; Bisi, Lorenzo; Sabbioni, Luca; Restelli, Marcello
Importance Sampling Techniques for Policy Optimization
2020-01-01 Metelli, ALBERTO MARIA; Papini, Matteo; Montali, Nico; Restelli, Marcello
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions
2020-01-01 Ramponi, Giorgia; Likmeta, Amarildo; Metelli, ALBERTO MARIA; Tirinzoni, Andrea; Restelli, Marcello
Gradient-Aware Model-Based Policy Search
2020-01-01 D'Oro, Pierluca; Metelli, ALBERTO MARIA; Tirinzoni, Andrea; Papini, Matteo; Restelli, Marcello
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving
2020-01-01 Likmeta, Amarildo; Metelli, ALBERTO MARIA; Tirinzoni, Andrea; Giol, Riccardo; Restelli, Marcello; Romano, Danilo
On the use of the policy gradient and Hessian in inverse reinforcement learning
2020-01-01 Metelli, A. M.; Pirotta, M.; Restelli, M.
Advancing drought monitoring via feature extraction
2021-01-01 Giuliani, M.; Metelli, A. M.; Restelli, M.; Castelletti, A.
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
2021-01-01 Metelli, ALBERTO MARIA; Russo, Alessio; Restelli, Marcello
Learning in Non-Cooperative Configurable Markov Decision Processes
2021-01-01 Ramponi, Giorgia; Metelli, ALBERTO MARIA; Concetti, Alessandro; Restelli, Marcello
Provably Efficient Learning of Transferable Rewards
2021-01-01 Metelli, ALBERTO MARIA; Ramponi, Giorgia; Concetti, Alessandro; Restelli, Marcello
Safe policy iteration: A monotonically improving approximate policy iteration approach
2021-01-01 Metelli, A. M.; Pirotta, M.; Calandriello, D.; Restelli, M.
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems
2021-01-01 Likmeta, A.; Metelli, A. M.; Ramponi, G.; Tirinzoni, A.; Giuliani, M.; Restelli, M.
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