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Consequently, the probability ratio r(x) must also be non-negative, the clipping hyper-parameter ϵ must be non-negative · 2020

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cs.CL 1

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2025 1

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DCPO: Dynamic Clipping Policy Optimization

cs.CL · 2025-09-02 · conditional · novelty 6.0

DCPO combines dynamic clipping bounds and cumulative advantage standardization, achieving higher average math benchmark scores and higher response utilization than GRPO, DAPO, and GSPO.

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  • DCPO: Dynamic Clipping Policy Optimization cs.CL · 2025-09-02 · conditional · none · ref 15

    DCPO combines dynamic clipping bounds and cumulative advantage standardization, achieving higher average math benchmark scores and higher response utilization than GRPO, DAPO, and GSPO.