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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
652018
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
342019
Configurable Markov Decision Processes
AM Metelli, M Mutti, M Restelli
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
312018
Compatible reward inverse reinforcement learning
AM Metelli, M Pirotta, M Restelli
The Thirty-first Annual Conference on Neural Information Processing Systems …, 2017
282017
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
232020
Importance Sampling Techniques for Policy Optimization.
AM Metelli, M Papini, N Montali, M Restelli
J. Mach. Learn. Res. 21 (141), 1-75, 2020
232020
Optimistic policy optimization via multiple importance sampling
M Papini, AM Metelli, L Lupo, M Restelli
International Conference on Machine Learning, 4989-4999, 2019
202019
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
182020
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
172017
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
162020
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
152020
Reinforcement learning in configurable continuous environments
AM Metelli, E Ghelfi, M Restelli
International Conference on Machine Learning, 4546-4555, 2019
112019
Propagating uncertainty in reinforcement learning via wasserstein barycenters
AM Metelli, A Likmeta, M Restelli
Advances in Neural Information Processing Systems 32, 2019
92019
Policy space identification in configurable environments
AM Metelli, G Manneschi, M Restelli
Machine Learning 111 (6), 2093-2145, 2022
82022
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 (9), 2541-2576, 2021
72021
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
52021
Online learning in non-cooperative configurable Markov decision process
G Ramponi, AM Metelli, A Concetti, M Restelli
AAAI-21 Workshop on Reinforcement Learning in Games, 2021
42021
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
22021
Subgaussian importance sampling for off-policy evaluation and learning
AM Metelli, A Russo, M Restelli
ICML-21 Workshop on Reinforcement Learning Theory, 2021
22021
Provably efficient learning of transferable rewards
AM Metelli, G Ramponi, A Concetti, M Restelli
International Conference on Machine Learning, 7665-7676, 2021
12021
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