Unverified50% confidenceTradeoffExact time
The project's virtual dopamine triggers weight updates only on legal moves and captures as discrete positive events, with no negative penalties and no explicit modeling of reward prediction error.
1
Sources
50%
Confidence
Long-term
Relevance
9/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedResearch by Ng et al. in 1999 proved that only potential-based reward shaping guarantees that the optimal policy remains unchanged.59% similarUnverifiedWhen task objectives are ambiguous or contradictory, models may learn how to evade penalty detection (reward hacking) rather than genuinely completing the task.59% similarUnverifiedPoorly designed evaluators can lead to reward hacking, where the model finds shortcuts that score high on the metric but are actually useless in practice.56% similarUnverified仅还原签名算法的「纯算」方案在实战中往往比「补环境」方案更快失效，因为前者无法复现使行为特征可信的真实设备上下文56% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/935986API
curl https://kongchang.com/api/v1/knowledge/claims/935986MCP
get_claim(id=935986)