Unverified50% confidenceFactExact time
RL algorithms commonly used for LLMs such as GRPO and PPO rely on Monte Carlo sampling to estimate policy gradients.
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50%
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9/15/2026
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Unverified推理增强方法通常借助RLHF或GRPO等算法，在MATH、HumanEval、AIME等基准上取得突破78% similarUnverifiedGRPO (Group Relative Policy Optimization) is better suited than traditional RLHF for multi-step decision-making scenarios because it can simultaneously evaluate the relative merits of multiple execution paths.75% similarUnverifiedRLHF遵循先用监督微调（本质是行为克隆）建立基础能力，再用PPO等算法优化人类偏好目标的范式71% similarUnverifiedAlgorithms such as GRPO and PPO have been successfully applied in post-training of large language models.71% similarUnverifiedGRPO (Group Relative Policy Optimization) is an improved variant of PPO that requires no additional value network training; instead, it calculates the reward signal by sampling a group of responses to the same question and using intra-group relative performance as a baseline.70% similar
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