How to Stop Shipping Low-Quality RL Environments (with Examples)
Latent Space1310 字 (约 6 分钟)
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RL environments act as data generators; low-quality training harnesses poison gradients by producing erroneous trajectories, causing models to learn wrong behavioral patterns instead of task logic.
入选理由：RL 环境中的任何软件 Bug（如缓存失效、竞态条件）都会被模型误认为是环境规律，从而导致模型学习到错误的策略。
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