Alberto Maria Metelli
Alberto Maria Metelli
Postdoctoral Researcher, Politecnico di Milano
Email verificata su polimi.it - Home page
Titolo
Citata da
Citata da
Anno
Policy Optimization via Importance Sampling
AM Metelli, M Papini, F Faccio, M Restelli
Advances in Neural Information Processing Systems 31, 5442-5454, 2018
552018
Configurable Markov Decision Processes
AM Metelli, M Mutti, M Restelli
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
272018
Compatible reward inverse reinforcement learning
AM Metelli, M Pirotta, M Restelli
The Thirty-first Annual Conference on Neural Information Processing Systems …, 2017
242017
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
132019
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
122017
Importance Sampling Techniques for Policy Optimization.
AM Metelli, M Papini, N Montali, M Restelli
J. Mach. Learn. Res. 21, 141:1-141:75, 2020
102020
Optimistic policy optimization via multiple importance sampling
M Papini, AM Metelli, L Lupo, M Restelli
International Conference on Machine Learning, 4989-4999, 2019
102019
Reinforcement learning in configurable continuous environments
AM Metelli, E Ghelfi, M Restelli
International Conference on Machine Learning, 4546-4555, 2019
102019
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
82020
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
82020
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
82020
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
82020
Policy space identification in configurable environments
AM Metelli, G Manneschi, M Restelli
arXiv preprint arXiv:1909.03984, 2019
62019
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
62019
Policy Optimization as Online Learning with Mediator Feedback
AM Metelli, M Papini, P D'Oro, M Restelli
arXiv preprint arXiv:2012.08225, 2020
32020
Online Learning in Non-Cooperative Configurable Markov Decision Process
G Ramponi, AM Metelli, A Concetti, M Restelli
22021
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, 1-36, 2021
12021
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
12020
Provably Efficient Learning of Transferable Rewards
AM Metelli, G Ramponi, A Concetti, M Restelli
International Conference on Machine Learning, 7665-7676, 2021
2021
Exploiting Environment Configurability in Reinforcement Learning
AM Metelli
Politecnico di Milano, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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