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References (39)

[1]
Group Sequence Policy Optimization
2025Chujie Zheng, Shixuan Liu et al.
[2]
GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning
2025Ziru Liu, Cheng Gong et al.
[3]
Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model
2025Jing Liang, Hongyao Tang et al.
[4]
Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
2025Yun Qu, Qi Cheems Wang et al.
[5]
RePO: Replay-Enhanced Policy Optimization
2025Siheng Li, Zhanhui Zhou et al.
[6]
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
2025Lu Ma, Hao Liang et al.
[7]
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay
2025Yifan Sun, Jingyan Shen et al.
[8]
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
2025Wei Fu, Jiaxuan Gao et al.
[9]
Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
2025Youssef Mroueh, Nicolas Dupuis et al.
[10]
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
2025Ganqu Cui, Yuchen Zhang et al.
[11]
Skywork Open Reasoner 1 Technical Report
2025Jujie He, Jiacai Liu et al.
[12]
ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay
2025Fanbin Lu, Zhisheng Zhong et al.
[13]
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
2025Yang Chen, Zhuoling Yang et al.
[14]
Self-Evolving Curriculum for LLM Reasoning
2025Xiaoyin Chen, Jiarui Lu et al.
[15]
Qwen3 Technical Report
2025An Yang, Anfeng Li et al.
[16]
Learning to Reason under Off-Policy Guidance
2025Jianhao Yan, Yafu Li et al.
[17]
SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM
2025Xiaojiang Zhang, Jinghui Wang et al.
[18]
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
2025Haozhan Shen, Peng Liu et al.
[19]
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
2025Qiying Yu, Zheng Zhang et al.
[20]
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
2025Qiguang Chen, Libo Qin et al.

Showing 20 of 39 references

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"Develop an off-policy RL framework to significantly enhance data efficiency in large language model post-training."

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