Alberto Maria Metelli
Cited by
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Policy optimization via importance sampling
AM Metelli, M Papini, F Faccio, M Restelli
arXiv preprint arXiv:1809.06098, 2018
Configurable Markov Decision Processes
AM Metelli, M Mutti, M Restelli
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
Compatible reward inverse reinforcement learning
A Metelli
Italy, 2017
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
Reinforcement learning in configurable continuous environments
AM Metelli, E Ghelfi, M Restelli
International Conference on Machine Learning, 4546-4555, 2019
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
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
Propagating uncertainty in reinforcement learning via wasserstein barycenters
AM Metelli, A Likmeta, M Restelli
33rd Conference on Neural Information Processing Systems, NeurIPS 2019, 4335 …, 2019
Policy space identification in configurable environments
AM Metelli, G Manneschi, M Restelli
arXiv preprint arXiv:1909.03984, 2019
Optimistic policy optimization via multiple importance sampling
M Papini, AM Metelli, L Lupo, M Restelli
International Conference on Machine Learning, 4989-4999, 2019
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
Importance Sampling Techniques for Policy Optimization
AM Metelli, M Papini, N Montali, M Restelli
Journal of Machine Learning Research 21 (141), 1-75, 2020
Online Learning in Non-Cooperative Configurable Markov Decision Process
G Ramponi, AM Metelli, A Concetti, M Restelli
Policy Optimization as Online Learning with Mediator Feedback
AM Metelli, M Papini, P D'Oro, M Restelli
arXiv preprint arXiv:2012.08225, 2020
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
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
On the use of the policy gradient and Hessian in inverse reinforcement learning
AM Metelli, M Pirotta, M Restelli
Intelligenza Artificiale 14 (1), 91-124, 2020
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