Unverified50% confidenceTradeoffExact time
Standard PPO requires training an additional value network (critic) of the same scale as the policy model to estimate the baseline, whereas the cost of GRPO is that multiple samples are needed per prompt, increasing sampling cost.
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50%
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Long-term
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10/19/2026
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Related Claims
UnverifiedMulti-turn reinforcement learning typically relies on policy gradient algorithms such as PPO or GRPO in its implementation.80% similarVerifiedCompared to PPO, GRPO eliminates the value network (Critic) and directly compares rewards among samples within a group to estimate the advantage function, significantly reducing training computation costs.78% similarVerifiedGRPO samples multiple responses to the same question and computes relative rewards within the group to estimate the baseline, eliminating the overhead of training a separate value network.74% similarVerifiedPPO（近端策略优化）通过限制每次参数更新的幅度，在学习效率与训练稳定性之间取得平衡74% similarUnverifiedTraining-time methods enhance explanation capability by modifying training objectives, which is costly and requires full access to model weights and large-scale GPU computing resources.71% similar
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