Unverified50% confidenceFactExact time
Potential-based reward shaping guarantees that the optimal policy remains unchanged.
1
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50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
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Related Claims
UnverifiedReward shaping refers to adding extra, denser guiding reward signals on top of the original sparse reward to help agents learn faster and more correctly.73% similarUnverified为抓取成功设置门控条件（只有物体被稳定抓住时抬升奖励才生效）的层次化奖励设计可以有效避免未抓先抬的问题72% similarUnverifiedReward engineering is essentially a highly iterative process: design the reward, observe behavior, discover loopholes, correct the reward, and repeat.72% similarUnverifiedThe NGU algorithm superimposes external rewards with two types of intrinsic rewards: a short-term reward based on intra-episode novelty and a long-term reward based on lifetime novelty.72% similarUnverifiedReward function design requires balancing the encouragement of forward racing against the penalization of collisions, and design bias may cause the agent to learn a degenerate strategy of remaining stationary71% similar
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