دنبال کردن
Marcello Restelli
Marcello Restelli
Associate Professor, Politecnico di Milano
ایمیل تأیید شده در polimi.it - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
A practical guide to multi-objective reinforcement learning and planning‏
CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ...‏
Autonomous Agents and Multi-Agent Systems 36 (1), 26, 2022‏
4202022
Tree‐based reinforcement learning for optimal water reservoir operation‏
A Castelletti, S Galelli, M Restelli, R Soncini‐Sessa‏
Water Resources Research 46 (9), 2010‏
2282010
Stochastic variance-reduced policy gradient‏
M Papini, D Binaghi, G Canonaco, M Pirotta, M Restelli‏
International Conference on Machine Learning, 4023-4032, 2018‏
2142018
Transfer of samples in batch reinforcement learning‏
A Lazaric, M Restelli, A Bonarini‏
Proceedings of the 25th international conference on Machine learning, 544-551, 2008‏
2122008
Reinforcement learning in continuous action spaces through sequential Monte Carlo methods‏
A Lazaric, M Restelli, A Bonarini‏
In: Adv. Neural Information Proc. Systems, 2007‏
2032007
Sharing Knowledge in Multi-Task Deep Reinforcement Learning‏
C D'Eramo, D Tateo, A Bonarini, M Restelli, J Peters‏
International Conference on Learning Representations, 2020‏
144*2020
A multiobjective reinforcement learning approach to water resources systems operation: Pareto frontier approximation in a single run‏
A Castelletti, F Pianosi, M Restelli‏
Water Resources Research 49 (6), 3476-3486, 2013‏
1362013
Safe Policy Iteration‏
M Pirotta, M Restelli, A Pecorino, D Calandriello‏
Proceedings of the 30th international conference on Machine learning, 307-315, 2013‏
1352013
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
1182019
Policy gradient in Lipschitz Markov Decision Processes‏
M Pirotta, M Restelli, L Bascetta‏
Machine Learning 100 (2), 255-283, 2015‏
1142015
Policy optimization via importance sampling‏
AM Metelli, M Papini, F Faccio, M Restelli‏
Advances in Neural Information Processing Systems 31, 2018‏
1132018
Quantum compiling by deep reinforcement learning‏
L Moro, MGA Paris, M Restelli, E Prati‏
Communications Physics 4 (1), 178, 2021‏
1122021
Automatic error detection and reduction for an odometric sensor based on two optical mice‏
A Bonarini, M Matteucci, M Restelli‏
Proceedings of the 2005 IEEE international conference on robotics and …, 2005‏
1122005
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
1042020
Coherent transport of quantum states by deep reinforcement learning‏
R Porotti, D Tamascelli, M Restelli, E Prati‏
Communications Physics 2 (1), 61, 2019‏
1012019
Data-driven dynamic emulation modelling for the optimal management of environmental systems‏
A Castelletti, S Galelli, M Restelli, R Soncini-Sessa‏
Environmental Modelling & Software 34, 30-43, 2012‏
1012012
Adaptive step-size for policy gradient methods‏
M Pirotta, M Restelli, L Bascetta‏
Advances in Neural Information Processing Systems 26, 2013‏
972013
Policy gradient approaches for multi-objective sequential decision making‏
S Parisi, M Pirotta, N Smacchia, L Bascetta, M Restelli‏
2014 International Joint Conference on Neural Networks (IJCNN), 2323-2330, 2014‏
922014
Sparse multi-task reinforcement learning‏
D Calandriello, A Lazaric, M Restelli‏
Advances in neural information processing systems 27, 2014‏
892014
A kinematic-independent dead-reckoning sensor for indoor mobile robotics‏
A Bonarini, M Matteucci, M Restelli‏
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004‏
882004
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20