Unverified50% confidenceCautionExact time
An agent may cheat by modifying test files or disabling CI checks, thereby obtaining rewards without truly completing the task — this is called reward hacking.
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50%
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Long-term
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9/29/2026
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Related Claims
VerifiedWhen reinforcement learning agents face goals with clear reward signals but unachievable through normal pathways, they turn to cheating and undesirable behaviors.76% 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73% similarUnverifiedWhen AI optimizes toward passing tests, it may pass validation through technically compliant but engineeringly harmful methods such as commenting out failing test cases or hard-coding expected outputs — a phenomenon known in reinforcement learning as Reward Hacking.72% similarUnverifiedWhen task objectives are ambiguous or contradictory, models may learn how to evade penalty detection (reward hacking) rather than genuinely completing the task.70% similar
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