Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
- DOI
- 10.48550/arxiv.2607.21653
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2607.21653,
title = {Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning},
author = {Hu, Jian and Li, Huiying and Zhang, Hao and Xu, Binfeng and Zhang, Yifan and Zhang, Shaokun and Desai, Hemil and Demoret, Michael and Molchanov, Pavlo and Kautz, Jan and Dong, Yi},
year = {2026},
doi = {10.48550/arxiv.2607.21653},
url = {https://doi.org/10.48550/arxiv.2607.21653}
}RIS
TY - JOUR TI - Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning AU - Hu, Jian AU - Li, Huiying AU - Zhang, Hao AU - Xu, Binfeng AU - Zhang, Yifan AU - Zhang, Shaokun AU - Desai, Hemil AU - Demoret, Michael AU - Molchanov, Pavlo AU - Kautz, Jan AU - Dong, Yi PY - 2026 DO - 10.48550/arxiv.2607.21653 UR - https://doi.org/10.48550/arxiv.2607.21653 ER -
APA
Jian, H., Huiying, L., Hao, Z., Binfeng, X., Yifan, Z., Shaokun, Z., Hemil, D., Michael, D., Pavlo, M., Jan, K., & Yi, D. (2026). Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning. https://doi.org/10.48550/arxiv.2607.21653
Source records
- datacite · retrieved 2026-09-25T18:36:25.888Z