[KongchangAI]
Unverified50% confidenceFactExact time

Reward shaping refers to designing additional auxiliary reward terms beyond the sparse original reward to guide the policy, which can accelerate convergence, but if the auxiliary rewards are inconsistent with the final objective, the policy may game the score without truly improving the win rate; in practice a smaller weight is often multiplied in and decayed in the later stages of training.

1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen

Sources

Related Entities

Related Claims

Cite This Claim

Stable URI
https://kongchang.com/claim/1021448
API
curl https://kongchang.com/api/v1/knowledge/claims/1021448
MCP
get_claim(id=1021448)