Marcello Restelli

Marcello Restelli

Politecnico di Milano

H-index: 39

Europe-Italy

About Marcello Restelli

Marcello Restelli, With an exceptional h-index of 39 and a recent h-index of 35 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Machine Learning, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Parameterized projected Bellman operator

Autoregressive bandits

Information Capacity Regret Bounds for Bandits with Mediator Feedback

A Reinforcement Learning controller optimizing costs and battery State of Health in smart grids

Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach

Interpretable linear dimensionality reduction based on bias-variance analysis

Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning

Online Markov Decision Processes Configuration with Continuous Decision Space

Marcello Restelli Information

University

Position

Associate Professor

Citations(all)

5105

Citations(since 2020)

3752

Cited By

2353

hIndex(all)

39

hIndex(since 2020)

35

i10Index(all)

110

i10Index(since 2020)

90

Email

University Profile Page

Politecnico di Milano

Google Scholar

View Google Scholar Profile

Marcello Restelli Skills & Research Interests

Machine Learning

Reinforcement Learning

Top articles of Marcello Restelli

Title

Journal

Author(s)

Publication Date

Parameterized projected Bellman operator

Proceedings of the AAAI Conference on Artificial Intelligence

Théo Vincent

Alberto Maria Metelli

Boris Belousov

Jan Peters

Marcello Restelli

...

2024/3/24

Autoregressive bandits

Francesco Bacchiocchi

Gianmarco Genalti

Davide Maran

Marco Mussi

Marcello Restelli

...

2024/4/18

Information Capacity Regret Bounds for Bandits with Mediator Feedback

arXiv preprint arXiv:2402.10282

Khaled Eldowa

Nicolò Cesa-Bianchi

Alberto Maria Metelli

Marcello Restelli

2024/2/15

A Reinforcement Learning controller optimizing costs and battery State of Health in smart grids

Journal of Energy Storage

Marco Mussi

Luigi Pellegrino

Oscar Francesco Pindaro

Marcello Restelli

Francesco Trovò

2024/3/30

Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach

Advances in Neural Information Processing Systems

Riccardo Poiani

Nicole Nobili

Alberto Maria Metelli

Marcello Restelli

2024/2/13

Interpretable linear dimensionality reduction based on bias-variance analysis

Data Mining and Knowledge Discovery

Paolo Bonetti

Alberto Maria Metelli

Marcello Restelli

2024/3/25

Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning

Advances in Neural Information Processing Systems

Riccardo Zamboni

Alberto Maria Metelli

Marcello Restelli

2024/2/13

Online Markov Decision Processes Configuration with Continuous Decision Space

Proceedings of the AAAI Conference on Artificial Intelligence

Davide Maran

Pierriccardo Olivieri

Francesco Emanuele Stradi

Giuseppe Urso

Nicola Gatti

...

2024/3/24

Inverse Reinforcement Learning with Sub-optimal Experts

arXiv preprint arXiv:2401.03857

Riccardo Poiani

Gabriele Curti

Alberto Maria Metelli

Marcello Restelli

2024/1/8

Dynamic pricing with volume discounts in online settings

Proceedings of the AAAI Conference on Artificial Intelligence

Marco Mussi

Gianmarco Genalti

Alessandro Nuara

Francesco Trovó

Marcello Restelli

...

2023/6/26

IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems

IEEE Transactions on Neural Networks and Learning Systems

Filippo Fedeli

Alberto Maria Metelli

Francesco Trovò

Marcello Restelli

2023/4/18

Convex Reinforcement Learning in Finite Trials

Journal of Machine Learning Research

Mirco Mutti

Riccardo De Santi

Piersilvio De Bartolomeis

Marcello Restelli

2023

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning

arXiv preprint arXiv:2310.07518

Mirco Mutti

Riccardo De Santi

Marcello Restelli

Alexander Marx

Giorgia Ramponi

2023/10/11

Dynamical linear bandits

Marco Mussi

Alberto Maria Metelli

Marcello Restelli

2023/7/3

Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs

IEEE Transactions on Intelligent Transportation Systems

Riccardo Poiani

Ciprian Stirbu

Alberto Maria Metelli

Marcello Restelli

2023/11/21

A Best Arm Identification Approach for Stochastic Rising Bandits

Alessandro Montenegro

Marco Mussi

Francesco Trovò

Marcello Restelli

Alberto Maria Metelli

2023/7/9

Stochastic Rising Bandits: A Best Arm Identification Approach

Alessandro Montenegro

Marco Mussi

Francesco Trovò

Marcello Restelli

Alberto Maria Metelli

2023/5/31

Provably efficient causal model-based reinforcement learning for systematic generalization

Proceedings of the AAAI Conference on Artificial Intelligence

Mirco Mutti

Riccardo De Santi

Emanuele Rossi

Juan Felipe Calderon

Michael Bronstein

...

2023/6/26

A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning

Gianluca Drappo

ALBERTO Metelli

Marcello Restelli

2023

A tale of sampling and estimation in discounted reinforcement learning

Alberto Maria Metelli

Mirco Mutti

Marcello Restelli

2023/4/11

See List of Professors in Marcello Restelli University(Politecnico di Milano)

Co-Authors

H-index: 55
Andrea Castelletti

Andrea Castelletti

Politecnico di Milano

H-index: 44
Matteo Matteucci

Matteo Matteucci

Politecnico di Milano

H-index: 37
Andrea Bonarini

Andrea Bonarini

Politecnico di Milano

H-index: 35
Nicola Gatti

Nicola Gatti

Politecnico di Milano

H-index: 29
Stefano Galelli

Stefano Galelli

Singapore University of Technology and Design

H-index: 27
Luca Bascetta

Luca Bascetta

Politecnico di Milano

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