Seguir
Marcello Restelli
Marcello Restelli
Associate Professor, Politecnico di Milano
Email confirmado em polimi.it - Página inicial
Título
Citado por
Citado por
Ano
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
2042008
Tree‐based reinforcement learning for optimal water reservoir operation
A Castelletti, S Galelli, M Restelli, R Soncini‐Sessa
Water Resources Research 46 (9), 2010
2032010
Reinforcement learning in continuous action spaces through sequential Monte Carlo methods
A Lazaric, M Restelli, A Bonarini
In: Adv. Neural Information Proc. Systems, 2007
1832007
Stochastic variance-reduced policy gradient
M Papini, D Binaghi, G Canonaco, M Pirotta, M Restelli
International Conference on Machine Learning, 4023-4032, 2018
1662018
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
1612022
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
1152013
Safe Policy Iteration
M Pirotta, M Restelli, A Pecorino, D Calandriello
Proceedings of the 30th international conference on Machine learning, 307-315, 2013
1112013
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
1082005
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
992020
Policy optimization via importance sampling
AM Metelli, M Papini, F Faccio, M Restelli
Advances in Neural Information Processing Systems 31, 2018
952018
Policy gradient in Lipschitz Markov Decision Processes
M Pirotta, M Restelli, L Bascetta
Machine Learning 100 (2), 255-283, 2015
952015
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
942012
Adaptive step-size for policy gradient methods
M Pirotta, M Restelli, L Bascetta
Advances in Neural Information Processing Systems 26, 2013
822013
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
822004
Coherent transport of quantum states by deep reinforcement learning
R Porotti, D Tamascelli, M Restelli, E Prati
Communications Physics 2 (1), 61, 2019
812019
Sparse multi-task reinforcement learning
D Calandriello, A Lazaric, M Restelli
Advances in neural information processing systems 27, 2014
772014
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
742019
Multi-objective reinforcement learning with continuous pareto frontier approximation
M Pirotta, S Parisi, M Restelli
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2928-2934, 2015
702015
Reinforcement distribution in fuzzy Q-learning
A Bonarini, A Lazaric, F Montrone, M Restelli
Fuzzy sets and systems 160 (10), 1420-1443, 2009
662009
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
642014
O sistema não pode efectuar a operação agora. Tente mais tarde.
Artigos 1–20