Report Open Access

Testing the Plasticity of Reinforcement Learning Based Systems

Tonella, Paolo; Biagiola, Matteo

GeoJSON Export

{
  "type": "FeatureCollection", 
  "features": []
}
89
141
views
downloads
All versions This version
Views 8957
Downloads 14154
Data volume 427.8 MB164.1 MB
Unique views 7750
Unique downloads 13047
More info on how stats are collected.
Indexed in
Publication date:
February 9, 2022
DOI:
10.5281/zenodo.6355271

Zenodo DOI Badge

DOI 

10.5281/zenodo.6355271

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6355271.svg)](https://doi.org/10.5281/zenodo.6355271)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.6355271.svg
   :target: https://doi.org/10.5281/zenodo.6355271

HTML 

<a href="https://doi.org/10.5281/zenodo.6355271"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.6355271.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.6355271.svg

Target URL 

https://doi.org/10.5281/zenodo.6355271

Grants:
European Commission:
  • PRECRIME - Self-assessment Oracles for Anticipatory Testing (787703)
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 2 10.5281/zenodo.6355271 Feb 9, 2022
Version 1 10.5281/zenodo.6026649 Feb 9, 2022
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.6026648. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export