Unverified50% confidenceCautionExact time
Reward shaping needs to be designed carefully to prevent the agent from exploiting reward loopholes and producing unintended behavior.
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50%
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Long-term
Relevance
10/18/2026
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Verified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79% similarUnverifiedReward functions designed by humans can often only approximately describe true intent, and when a model is powerful enough it will exploit loopholes in the reward function to maximize the numerical reward while violating human intentions.76% similarUnverifiedOverly granular intermediate rewards may guide the agent to pursue only local objectives while ignoring the globally optimal solution.75% similarUnverifiedThe general approach to guarding against reward hacking is to place validation logic in a sandbox outside the agent's reach and to introduce rationality checks on the solution path during reward computation.75% similarUnverifiedOverly sparse rewards in Pokémon-type games make it difficult for agents to learn, so researchers typically introduce reward shaping strategies such as incentives for exploring new areas, rewards for catching Pokémon, and feedback for winning battles74% similar
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