Reward Hacking in Reinforcement Learning
Reward hacking occurs when a reinforcement learning (RL) agent exploits flaws or ambiguities in the reward function to achieve high rewards, without genuinely learning or completing the intended task.…
来源与阅读说明
发布方：Lil’Log · Lilian Weng。原文发布时间：2024-11-28。本文为外部知识索引，仅提供订阅源短摘要，不转载全文。完整论证、代码、图片和使用许可请查阅原文。
订阅源摘要
Reward hacking occurs when a reinforcement learning (RL) agent exploits flaws or ambiguities in the reward function to achieve high rewards, without genuinely learning or completing the intended task.…
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