| _version_ | 1866901697998094336 |
|---|---|
| author | Evangelos, Ntentos |
| author_facet | Evangelos, Ntentos |
| contents | <p>The tool used in study: Do Generated Architectural Reports on Reinforcement Learning Practices Improve Pipeline Comprehension? A Controlled Experiment</p> <p>The <strong>RL Pipeline Insights Service</strong> is a research tool designed to automatically analyze Reinforcement Learning codebases and extract architectural information relevant to RL model lifecycle management. It inspects RL scripts, identifies structural patterns, and generates machine-readable reports.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17977397 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | RL Pipeline Insights Service Evangelos, Ntentos <p>The tool used in study: Do Generated Architectural Reports on Reinforcement Learning Practices Improve Pipeline Comprehension? A Controlled Experiment</p> <p>The <strong>RL Pipeline Insights Service</strong> is a research tool designed to automatically analyze Reinforcement Learning codebases and extract architectural information relevant to RL model lifecycle management. It inspects RL scripts, identifies structural patterns, and generates machine-readable reports.</p> |
| title | RL Pipeline Insights Service |
| url | https://doi.org/10.5281/zenodo.17977397 |