Unverified50% confidenceCautionExact time
Improper reward design may cause one side to learn to slack off or exploit loopholes in the rules.
1
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50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
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Related Claims
UnverifiedReward shaping needs to be designed carefully to prevent the agent from exploiting reward loopholes and producing unintended behavior.79% similarVerified奖励函数设计不当会导致奖励欺骗（Reward Hacking）现象，即智能体找到在奖励函数上得分高但实际无意义甚至有害的行为路径77% similarVerifiedPoorly designed evaluators can lead to reward hacking, where the model finds shortcuts that score high on the metric but are actually useless in practice.77% similarUnverifiedOverly granular intermediate rewards may guide the agent to pursue only local objectives while ignoring the globally optimal solution.75% similarUnverifiedIf the specification is not written specifically enough, dense rewards will be confidently wrong and cause the Agent to optimize directly into the gap between the specification and reality.75% similar
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