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@@ -253,3 +253,13 @@ CodeFu is developed by the **AWS WWSO Prototyping** Team. If you find CodeFu hel
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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. (https://arxiv.org/pdf/1707.06347.pdf)
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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.
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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.
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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.
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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.