Marcello Restelli

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Andrea BonariniFull Professor, Politecnico di MilanoVerified email at polimi.it
Alessandro LazaricResearch Scientist, Facebook Artificial Intelligence ResearchVerified email at inria.fr
Matteo PirottaResearch Scientist, Facebook AI ResearchVerified email at fb.com
Nicola GattiPolitecnico di MilanoVerified email at elet.polimi.it
Matteo MatteucciFull Professor, Department of Electronics Information and Bioengineering, Politecnico di MilanoVerified email at polimi.it
Andrea CastellettiProfessor, Politecnico di MilanoVerified email at polimi.it
Francesco TrovòPolitecnico di MilanoVerified email at polimi.it
Alberto Maria MetelliPostDoc Researcher, Politecnico di MilanoVerified email at polimi.it
Matteo PapiniPolitecnico di MilanoVerified email at polimi.it
Stefano GalelliAssociate Professor, Singapore University of Technology and DesignVerified email at sutd.edu.sg
Alessandro NuaraPhD student, Politecnico di MilanoVerified email at polimi.it
Luca BascettaAssociate Professor, Department of Electronics Information and Bioengineering, Politecnico di MilanoVerified email at polimi.it
Andrea TirinzoniInria LilleVerified email at inria.fr
Carlo D'EramoPostdoctoral researcher @ Technische Universität DarmstadtVerified email at robot-learning.de
Stefano PaladinoPolitecnico di MilanoVerified email at polimi.it
Enrique Munoz de CoteProfessor of Computer Science at INAOE; CSO @ People & AI; past: Director at SecondmindVerified email at people-ai.com
Domenico Giorgio SorrentiUniversità degli Studi di Milano - BicoccaVerified email at unimib.it
Daniele CalandrielloResearch Scientist, DeepMindVerified email at google.com
Simone ParisiFacebook AI ResearchVerified email at fb.com
Francesca PianosiUniversity of BristolVerified email at bristol.ac.uk

Marcello Restelli

Associate Professor, Politecnico di Milano

Verified email at polimi.it - Homepage

Machine Learning Reinforcement Learning


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Tree‐based reinforcement learning for optimal water reservoir operation A Castelletti, S Galelli, M Restelli, R Soncini‐Sessa Water Resources Research 46 (9), 2010	154	2010
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	142	2008
Reinforcement learning in continuous action spaces through sequential Monte Carlo methods A Lazaric, M Restelli, A Bonarini In: Adv. Neural Information Proc. Systems, 2007	125	2007
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	107	2005
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	82	2004
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	81	2012
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	73	2013
Reinforcement distribution in fuzzy Q-learning A Bonarini, A Lazaric, F Montrone, M Restelli Fuzzy sets and systems 160 (10), 1420-1443, 2009	62	2009
Safe Policy Iteration M Pirotta, M Restelli, A Pecorino, D Calandriello Proceedings of the 30th international conference on Machine learning, 307-315, 2013	61	2013
Adaptive step-size for policy gradient methods M Pirotta, M Restelli, L Bascetta Advances in Neural Information Processing Systems 26, 1394-1402, 2013	55	2013
Stochastic variance-reduced policy gradient M Papini, D Binaghi, G Canonaco, M Pirotta, M Restelli International Conference on Machine Learning, 4023-4032, 2018	52	2018
Transfer from multiple MDPs A Lazaric, M Restelli Advances in Neural Information Processing Systems 24, 1746-1754, 2011	47	2011
Learning to cooperate in multi-agent social dilemmas EM de Cote, A Lazaric, M Restelli Proceedings of the fifth international joint conference on Autonomous agents …, 2006	46	2006
Sparse multi-task reinforcement learning D Calandriello, A Lazaric, M Restelli	44	2014
Policy gradient in Lipschitz Markov Decision Processes M Pirotta, M Restelli, L Bascetta Machine Learning 100 (2), 255-283, 2015	43	2015
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	43	2015
Policy optimization via importance sampling AM Metelli, M Papini, F Faccio, M Restelli arXiv preprint arXiv:1809.06098, 2018	39	2018
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	36	2014
Self-development framework for reinforcement learning agents A Bonarini, A Lazaric, M Restelli, P Vitali Proceedings of the Fifth International Conference on Development and …, 2006	32	2006
Estimating the Maximum Expected Value through Gaussian Approximation C D’Eramo, A Nuara, M Restelli Proceedings of The 33rd International Conference on Machine Learning, 1032-1040, 2016	30	2016

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