Léonard Hussenot

1.5k total citations
5 papers, 50 citations indexed

About

Léonard Hussenot is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Léonard Hussenot has authored 5 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Léonard Hussenot's work include Reinforcement Learning in Robotics (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Human Motion and Animation (1 paper). Léonard Hussenot is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Human Motion and Animation (1 paper). Léonard Hussenot collaborates with scholars based in United States, Germany and Switzerland. Léonard Hussenot's co-authors include Matthieu Geist, Olivier Pietquin, Olivier Bachem, Sertan Girgin, Piotr Stańczyk, Marcin Michalski, Sylvain Gelly, Robert Dadashi, Nino Vieillard and Marcin Andrychowicz and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Léonard Hussenot

4 papers receiving 49 citations

Peers

Léonard Hussenot

AI

CSE

CVPR

EEE

IS

Edward Lockhart United Kingdom

Jack Parker-Holder United Kingdom

Aurelia Guy United States

Stefan Depeweg Germany

I. Babuschkin United States

C. Lü China

Michel Tokic Germany

Mozhdeh Gheini United States

Pierre‐Luc Bacon Canada

Anton Raichuk United States

Edward Lockhart United Kingdom

Léonard Hussenot

44 ×1.1

AI

6 ×0.6

CSE

8 ×1.6

CVPR

3 ×0.6

EEE

2 ×0.5

IS

Citations per year, relative to Léonard Hussenot Léonard Hussenot (= 1×) peers Edward Lockhart

Countries citing papers authored by Léonard Hussenot

Since Specialization

Citations

This map shows the geographic impact of Léonard Hussenot'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 Léonard Hussenot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léonard Hussenot more than expected).

Fields of papers citing papers by Léonard Hussenot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Léonard Hussenot. 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 Léonard Hussenot. The network helps show where Léonard Hussenot may publish in the future.

Co-authorship network of co-authors of Léonard Hussenot

This figure shows the co-authorship network connecting the top 25 collaborators of Léonard Hussenot. A scholar is included among the top collaborators of Léonard Hussenot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Léonard Hussenot. Léonard Hussenot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Ferret, Johan, Lior Shani, Roee Aharoni, et al.. (2023). Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. 6252–6272. 10 indexed citations

2.

Dadashi, Robert, Nino Vieillard, Léonard Hussenot, et al.. (2022). Offline Reinforcement Learning as Anti-exploration. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 8106–8114. 9 indexed citations

3.

Andrychowicz, Marcin, Anton Raichuk, Piotr Stańczyk, et al.. (2021). What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. International Conference on Learning Representations. 26 indexed citations

4.

Hussenot, Léonard, Marcin Andrychowicz, Damien Vincent, et al.. (2021). Hyperparameter Selection for Imitation Learning. arXiv (Cornell University). 4511–4522.

5.

Hussenot, Léonard, Matthieu Geist, & Olivier Pietquin. (2019). Targeted Attacks on Deep Reinforcement Learning Agents through Adversarial Observations.. arXiv (Cornell University). 5 indexed citations

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.

Explore authors with similar magnitude of impact