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Alberto Maria Metelli
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Cited by
Year
Policy Optimization via Importance Sampling
AM Metelli, M Papini, F Faccio, M Restelli
Advances in Neural Information Processing Systems 31, 5442-5454, 2018
1052018
Feature selection via mutual information: New theoretical insights
M Beraha, AM Metelli, M Papini, A Tirinzoni, M Restelli
2019 international joint conference on neural networks (IJCNN), 1-9, 2019
862019
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving
A Likmeta, AM Metelli, A Tirinzoni, R Giol, M Restelli, D Romano
Robotics and Autonomous Systems 131, 103568, 2020
722020
Importance sampling techniques for policy optimization
AM Metelli, M Papini, N Montali, M Restelli
Journal of Machine Learning Research 21 (141), 1-75, 2020
542020
Configurable Markov Decision Processes
AM Metelli, M Mutti, M Restelli
Proceedings of the 35th International Conference on Machine Learning 80á…, 2018
472018
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
AM Metelli, F Mazzolini, L Bisi, L Sabbioni, M Restelli
International Conference on Machine Learning 119, 6862--6873, 2020
452020
Compatible reward inverse reinforcement learning
AM Metelli, M Pirotta, M Restelli
The Thirty-first Annual Conference on Neural Information Processing Systemsá…, 2017
432017
Gradient-aware model-based policy search
P D'Oro, AM Metelli, A Tirinzoni, M Papini, M Restelli
The Thirty-Fourth AAAI Conference on Artificial Intelligence, 3801-3808, 2020
422020
Optimistic policy optimization via multiple importance sampling
M Papini, AM Metelli, L Lupo, M Restelli
International Conference on Machine Learning, 4989-4999, 2019
402019
Truly batch model-free inverse reinforcement learning about multiple intentions
G Ramponi, A Likmeta, AM Metelli, A Tirinzoni, M Restelli
International conference on artificial intelligence and statistics, 2359-2369, 2020
342020
Propagating uncertainty in reinforcement learning via wasserstein barycenters
AM Metelli, A Likmeta, M Restelli
Advances in Neural Information Processing Systems 32, 2019
332019
Subgaussian and differentiable importance sampling for off-policy evaluation and learning
AM Metelli, A Russo, M Restelli
Advances in neural information processing systems 34, 8119-8132, 2021
322021
Content-based approaches for cold-start job recommendations
M Bianchi, F Cesaro, F Ciceri, M Dagrada, A Gasparin, D Grattarola, ...
Proceedings of the Recommender Systems Challenge 2017, 1-5, 2017
242017
Provably efficient learning of transferable rewards
AM Metelli, G Ramponi, A Concetti, M Restelli
International Conference on Machine Learning, 7665-7676, 2021
232021
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems
A Likmeta, AM Metelli, G Ramponi, A Tirinzoni, M Giuliani, M Restelli
Machine Learning 110, 2541-2576, 2021
212021
Stochastic rising bandits
AM Metelli, F Trovo, M Pirola, M Restelli
International Conference on Machine Learning, 15421-15457, 2022
192022
Reinforcement learning in configurable continuous environments
AM Metelli, E Ghelfi, M Restelli
International Conference on Machine Learning, 4546-4555, 2019
182019
Policy space identification in configurable environments
AM Metelli, G Manneschi, M Restelli
Machine Learning, 1-53, 2022
152022
Policy Optimization as Online Learning with Mediator Feedback
AM Metelli, M Papini, P D'Oro, M Restelli
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8958-8966, 2021
132021
Lifelong hyper-policy optimization with multiple importance sampling regularization
P Liotet, F Vidaich, AM Metelli, M Restelli
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7525-7533, 2022
112022
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