self-play-pretrain-zero-data (wip)
Implementation of Self-Play Pretraining with Zero Data
Citations
@misc{cowsik2026selfplaypretrainingzerodata,
title = {Self-Play Pretraining with Zero Data},
author = {Aditya Cowsik and Kfir Dolev and Michael Y. Li and G. Bruno De Luca and Nourya Cohen and Noah D. Goodman and Yoav Levine},
year = {2026},
eprint = {2609.30063},
archivePrefix = {arXiv},
primaryClass = {cs.AI},
url = {https://arxiv.org/abs/2609.30063},
}
@misc{bloem2025universalpretrainingiteratedrandom,
title = {Universal pre-training by iterated random computation},
author = {Peter Bloem},
year = {2025},
eprint = {2506.20057},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2506.20057},
}
Metadata
Release files for self-play-pretrain-zero-data 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| self_play_pretrain_zero_data-0.0.1.tar.gz | 5.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| self_play_pretrain_zero_data-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.9 kB
Release files / self_play_pretrain_zero_data-0.0.1.tar.gz
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Release files / self_play_pretrain_zero_data-0.0.1-py3-none-any.whl
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| Size | 5.4 kB |
| Tags | Python 3 |
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