Marcello Restelli
Impact in
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- Advanced Bandit Algorithms Research
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
Papers in
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- Reinforcement Learning in Robotics 72
- Evolutionary Algorithms and Applications 14
- Data Stream Mining Techniques 11
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- Advanced Bandit Algorithms Research 42
- Game Theory and Applications 10
- Auction Theory and Applications 8
- Co-authors
- Andrea Bonarini (21 shared papers)Andrea Castelletti (11 shared papers)Alessandro Lazaric (12 shared papers)Matteo Pirotta (22 shared papers)Stefano Galelli (5 shared papers)Rodolfo Soncini‐Sessa (4 shared papers)Francesca Pianosi (4 shared papers)Matteo Matteucci (11 shared papers)
In The Last Decade
Marcello Restelli
133 papers receiving 1.7k citations
Marcello Restelli's Hit Papers
Peers
Comparison fields: 5 of 125
- Management Science and Operations Research 297
- Artificial Intelligence 757
- Computational Theory and Mathematics 279
- Ocean Engineering 225
- Control and Systems Engineering 275
Countries citing papers authored by Marcello Restelli
This map shows the geographic impact of Marcello Restelli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marcello Restelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Restelli more than expected).
Fields of papers citing papers by Marcello Restelli
This network shows the impact of papers produced by Marcello Restelli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcello Restelli. The network helps show where Marcello Restelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcello Restelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A practical guide to multi-objective reinforcement learning and planning Hit paper breakdown → | 2022 | 172 |
| 2 | 2010 | 148 | |
| 3 | 2013 | 85 | |
| 4 | 2008 | 81 | |
| 5 | Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods | 2007 | 74 |
| 6 | 2011 | 73 | |
| 7 | 2020 | 70 | |
| 8 | 2006 | 57 | |
| 9 | 2019 | 56 | |
| 10 | 2008 | 40 | |
| 11 | 2005 | 37 | |
| 12 | 2014 | 34 | |
| 13 | 2006 | 31 | |
| 14 | 2018 | 30 | |
| 15 | 2015 | 29 | |
| 16 | 2020 | 28 | |
| 17 | 2016 | 27 | |
| 18 | 2013 | 25 | |
| 19 | Adaptive Step-Size for Policy Gradient Methods | 2013 | 25 |
| 20 | 2012 | 24 |
About Marcello Restelli
Marcello Restelli is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 150 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (72 papers), Advanced Bandit Algorithms Research (42 papers), Evolutionary Algorithms and Applications (14 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Data Stream Mining Techniques (11 papers), Game Theory and Applications (10 papers), Adaptive Dynamic Programming Control (8 papers) and Auction Theory and Applications (8 papers). The work is most often cited by research in Management Science and Operations Research (297 citations), Artificial Intelligence (757 citations), Computational Theory and Mathematics (279 citations), Ocean Engineering (225 citations) and Control and Systems Engineering (275 citations). Marcello Restelli has collaborated with scholars based in Italy, Spain and Australia. Frequent co-authors include Andrea Bonarini, Andrea Castelletti, Alessandro Lazaric, Matteo Pirotta, Stefano Galelli, Rodolfo Soncini‐Sessa, Francesca Pianosi, Matteo Matteucci, Alberto Maria Metelli and Francesco Trovò. Their work appears in journals such as Artificial Intelligence, Journal of Energy Storage, Machine Learning, Journal of Machine Learning Research and Journal of Artificial Intelligence Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.