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README.md
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## References
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[1] - Schulman, J., Wolski, F., Dhariwal, P., Radford, A., & Klimov, O. (2017). Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347.
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[2] - Yu, Q., Zhang, Z., Zhu, R., Yuan, Y., Zuo, X., Yue, Y., ... & Wang, M. (2025). DAPO: An open-source llm reinforcement learning system at scale. arXiv preprint arXiv:2503.14476.
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[3] - Hao, Y., Dong, L., Wu, X., Huang, S., Chi, Z., & Wei, F. (2025). On-Policy RL with Optimal Reward Baseline. arXiv preprint arXiv:2505.23585.
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[4] - Liu, Z., Chen, C., Li, W., Qi, P., Pang, T., Du, C., ... & Lin, M. Understanding r1-zero-like training: A critical perspective. arXiv preprint arXiv:2503.20783.
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[5] - Zheng, C., Liu, S., Li, M., Chen, X. H., Yu, B., Gao, C., ... & Lin, J. (2025). Group Sequence Policy Optimization. arXiv preprint arXiv:2507.18071.
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}
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```
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