Antonin Raffin
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Ashley HillAdam GleaveMaximilian ErnestusAnssi KanervistoFreek StulpJens KoberRico JonschkowskiJoão Silvério
- Topics
- Robot Manipulation and Learning (6 papers)Reinforcement Learning in Robotics (4 papers)Soft Robotics and Applications (3 papers)
- Partner nations
- GermanyNetherlandsFrance
In The Last Decade
Antonin Raffin
8 papers receiving 739 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 286
- Control and Systems Engineering 221
- Electrical and Electronic Engineering 160
- Computer Vision and Pattern Recognition 118
- Computer Networks and Communications 98
Countries citing papers authored by Antonin Raffin
This map shows the geographic impact of Antonin Raffin'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 Antonin Raffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonin Raffin more than expected).
Fields of papers citing papers by Antonin Raffin
This network shows the impact of papers produced by Antonin Raffin. 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 Antonin Raffin. The network helps show where Antonin Raffin may publish in the future.
Co-authorship network of co-authors of Antonin Raffin
This figure shows the co-authorship network connecting the top 25 collaborators of Antonin Raffin. A scholar is included among the top collaborators of Antonin Raffin 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 Antonin Raffin. Antonin Raffin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Stable-Baselines3: Reliable Reinforcement Learning Implementationsbreakdown → | 739 |
| 6 | 5 | |
| 7 | Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics | 3 |
| 8 | 2 | |
| 9 | Unsupervised Learning of State Representations for Multiple Tasks | 3 |
About Antonin Raffin
Antonin Raffin is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering, having authored 9 papers that have together received 758 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (4 papers) and Soft Robotics and Applications (3 papers). The work is most often cited by research in Control and Systems Engineering (221 citations), Artificial Intelligence (286 citations) and Automotive Engineering (94 citations). Antonin Raffin has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Ashley Hill, Adam Gleave, Maximilian Ernestus, Anssi Kanervisto, Freek Stulp, Jens Kober, Rico Jonschkowski, João Silvério, Oliver Brock and Cosimo Della Santina. Their work appears in journals such as Journal of Machine Learning Research, Autonomous Robots and Frontiers in Robotics and AI.
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.