Nantas Nardelli
Impact in
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Adversarial Robustness in Machine Learning
- Evolutionary Algorithms and Applications
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- Distributed Control Multi-Agent Systems
Papers in
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- Reinforcement Learning in Robotics 6
- Artificial Intelligence in Games 1
- AI-based Problem Solving and Planning 1
- Metaheuristic Optimization Algorithms Research 1
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- Fuel Cells and Related Materials 2
- Co-authors
- Gregory Farquhar (3 shared papers)Shimon Whiteson (3 shared papers)Jakob Foerster (3 shared papers)Triantafyllos Afouras (2 shared papers)Subramanian Ramamoorthy (1 shared paper)Mikayel Samvelyan (1 shared paper)Pushmeet Kohli (1 shared paper)Gabriel Synnaeve (1 shared paper)
- Journals
- UCL Discovery (University College London) (1 paper)Oxford University Research Archive (ORA) (University of Oxford) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
Nantas Nardelli
6 papers receiving 1.2k citations
Nantas Nardelli's Hit Papers
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 758
- Computer Networks and Communications 325
- Automotive Engineering 120
- Computational Theory and Mathematics 151
- Control and Systems Engineering 219
Countries citing papers authored by Nantas Nardelli
This map shows the geographic impact of Nantas Nardelli'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 Nantas Nardelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nantas Nardelli more than expected).
Fields of papers citing papers by Nantas Nardelli
This network shows the impact of papers produced by Nantas Nardelli. 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 Nantas Nardelli. The network helps show where Nantas Nardelli may publish in the future.
Co-authors
The 20 scholars most cited alongside Nantas Nardelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Counterfactual Multi-Agent Policy Gradients Hit paper breakdown → | 2018 | 1051 |
| 2 | 2017 | 171 | |
| 3 | 2015 | 11 | |
| 4 | 2019 | 10 | |
| 5 | Value Propagation Networks. | 2018 | 6 |
| 6 | The NetHack Learning Environment | 2020 | 2 |
About Nantas Nardelli
Nantas Nardelli is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Automotive Engineering, Ocean Engineering and Computational Theory and Mathematics, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Fuel Cells and Related Materials (2 papers), Artificial Intelligence in Games (1 paper), Adaptive Dynamic Programming Control (1 paper), Auction Theory and Applications (1 paper), AI-based Problem Solving and Planning (1 paper), Autonomous Vehicle Technology and Safety (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Artificial Intelligence (758 citations), Computer Networks and Communications (325 citations), Automotive Engineering (120 citations), Computational Theory and Mathematics (151 citations) and Control and Systems Engineering (219 citations). Nantas Nardelli has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Gregory Farquhar, Shimon Whiteson, Jakob Foerster, Triantafyllos Afouras, Subramanian Ramamoorthy, Mikayel Samvelyan, Pushmeet Kohli, Gabriel Synnaeve, Christian Schroeder de Witt and Tim G. J. Rudner. Their work appears in journals such as UCL Discovery (University College London), Oxford University Research Archive (ORA) (University of Oxford), Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.