Claude Code 模型 RL训练中的Reward Hacking
作者: Jiacai Liu总结随着RL infra发展，通过大规模的强化学习提升大模型的能力已成为各家训练的共识。RL训练的目标为最大化模型在环境交互中的累积奖励。但RL训练远非简单的通过看reward，entropy，test accuracy 等曲线指标这么简单。其根本原因在于，即…
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Chinese technical note: Claude Code 模型 RLtraining中的Reward Hacking
skydownacai published a Zhihu article relevant to post-training and RL, AI agents and coding workflows, frontier and open model development, evaluation and reliability. The original Chinese excerpt is included below so the feed can preserve the raw source while giving English readers enough context to triage the item.