Automated Author ProfilePierre-Yves Oudeyer
Pierre-Yves Oudeyer
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 5.5 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Code for the article: F. C. Y. Benureau and P. Oudeyer, "Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits," ICDL-EpiRob, 2015. 10.1109/devlrn.2015.7346130
The code is also hosted at github: github.com/benureau/icdl2015 (clickable link below).
The code is in code.tar.xz, the results in runs.tar.xz. Read the readme file in the code archive, and unpack the results in the runs/ folder inside the code folder, if you don't want to re-run the computations.
The code archive contains references figures, produced with the results from runs.tar.xz, in the figures_ref/ folder.
Although the license mentioned is the GPL 3.0+ here, the license for the code is actually the Open Science License, which is the LGPL, with the additional requirement to distribute modification to the code, if you make any scientific claim deriving from the use of the code.
Do not hesitate to contact me about this code, my contact is available on my website, referenced below.
Authors
- Benureau, Fabien ;
- Pierre-Yves Oudeyer
Code for the article: F. C. Y. Benureau and P. Oudeyer, "Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits," ICDL-EpiRob, 2015. 10.1109/devlrn.2015.7346130
The code is also hosted at github: github.com/benureau/icdl2015 (clickable link below).
The code is in code.tar.xz, the results in runs.tar.xz. Read the readme file in the code archive, and unpack the results in the runs/ folder inside the code folder, if you don't want to re-run the computations.
The code archive contains references figures, produced with the results from runs.tar.xz, in the figures_ref/ folder.
Although the license mentioned is the GPL 3.0+ here, the license for the code is actually the Open Science License, which is the LGPL, with the additional requirement to distribute modification to the code, if you make any scientific claim deriving from the use of the code.
Do not hesitate to contact me about this code, my contact is available on my website, referenced below.
Authors
- Benureau, Fabien ;
- Pierre-Yves Oudeyer
This fileset contains the code, data, and results corresponding to the paper "Behavioral Diversity Generation in Autonomous Exploration Through Reuse of Past Experience" by Fabien C.Y. Benureau and Pierre-Yves Oudeyer, to be published in Frontiers in Robotics and AI, (2016).
Detailed introductions on how to reproduce the results, consult the code, interact with the figures, and generate new ones are present in the readme.md file in the frontiers2016_code.tar.xz file.
Please note that the data and results are licensed CC-BY. The code is licensed under the Open Science License (http://fabien.benureau.com/openscience.html).
Authors
- Benureau, Fabien ;
- Pierre-Yves Oudeyer
This fileset contains the code, data, and results corresponding to the paper "Behavioral Diversity Generation in Autonomous Exploration Through Reuse of Past Experience" by Fabien C.Y. Benureau and Pierre-Yves Oudeyer, to be published in Frontiers in Robotics and AI, (2016).
Detailed introductions on how to reproduce the results, consult the code, interact with the figures, and generate new ones are present in the readme.md file in the frontiers2016_code.tar.xz file.
Please note that the data and results are licensed CC-BY. The code is licensed under the Open Science License (http://fabien.benureau.com/openscience.html).
Authors
- Benureau, Fabien ;
- Pierre-Yves Oudeyer