Unverified50% confidenceFactExact time
In games like Super Mario, the agent often receives sparse rewards only upon clearing a level or dying, and intermediate steps lack clear correct-action labels, making the loss function difficult to define.
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50%
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Long-term
Relevance
10/21/2026
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Related Claims
UnverifiedOverly granular intermediate rewards may guide the agent to pursue only local objectives while ignoring the globally optimal solution.70% 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 battles68% 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68% similar
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