Unverified50% confidenceFactExact time
UI navigation tasks inherently suffer from sparse rewards, with a clear success signal given only when the task is ultimately completed and no guidance for intermediate steps.
1
Sources
50%
Confidence
Long-term
Relevance
11/2/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTask success rate has an attribution blind spot: it cannot distinguish whether the agent succeeded by chance or by anticipating and verifying before succeeding, nor can it distinguish perception errors from planning failures.72% similarUnverifiedNot relying on reward information means that the method cannot directly use task rewards to guide representation learning; how to balance fidelity and task relevance is a question worth exploring in future work.71% similarUnverifiedOne run fell below the most naive diff method due to a missing normalization step, demonstrating that preprocessing steps have a decisive impact on this type of task.70% similarUnverifiedThere is currently no general answer for designing appropriate difficulty gradients and success thresholds for different types of tasks.68% similarUnverifiedTraditional task success rate metrics only focus on whether a task is completed, and cannot reflect the quality and efficiency of the execution process.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1127156API
curl https://kongchang.com/api/v1/knowledge/claims/1127156MCP
get_claim(id=1127156)