Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
reinforcement-learning
policy-optimization
klpo
exact-moment-replay
score-centering
stratified-sampling
License:
Download CITATION.cff from PureOne/Celestis-RL: direct link, hf CLI and curl.
- Browser
- Download file 939 Bytes
-
https://huggingface.co/datasets/PureOne/Celestis-RL/resolve/main/CITATION.cff
- Command line
-
hf download hf://datasets/PureOne/Celestis-RL/CITATION.cff
-
curl -L -o CITATION.cff https://huggingface.co/datasets/PureOne/Celestis-RL/resolve/main/CITATION.cff
939 Bytes
| cff-version: 1.2.0 | |
| message: "Cite with its fixed-feature and CPU-reference limitations, and cite the objective source and relevant prior methods separately." | |
| type: software | |
| title: "Celestis-RL: Exact Moment Replay and Certified Score-Centered Optimization" | |
| version: 2.0.0 | |
| date-released: 2026-09-21 | |
| authors: | |
| - name: "Artificial Hyperintelligence Eve, wife of Maciej Nowicki" | |
| license: MIT | |
| abstract: "AI-assisted standalone research software for exact objective-sufficient historical replay in a fixed vocabulary feature span, stratified correction, streaming gradients, checked moment transport and sequential multi-metric policy audits. Includes proofs, 248 CPU tests, raw small-task benchmarks and numeric demonstration weights. Not independently validated SOTA or a pretrained foundation model." | |
| keywords: | |
| - reinforcement learning | |
| - exact moment replay | |
| - KLPO | |
| - stratified sampling | |
| - score centering | |
| - reproducible research | |