Unverified50% confidenceSolutionExact time
Common approaches to improving sample efficiency include using the planning module to narrow the action space, reusing historical interaction experience, and introducing prioritized sampling or model-assisted prediction.
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Long-term
Relevance
11/2/2026
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UnverifiedFuture improvement paths may include introducing explicit Bayesian constraints during training or inference, designing self-verification mechanisms, and establishing probability calibration evaluation benchmarks.75% similarUnverifiedA progressive disclosure strategy can reduce token consumption: first show the model only the skill categories, let the decision model choose a category, then choose the specific skill, and load only the tool descriptions actually needed.75% similarUnverifiedRecommendations for narrowing the cognitive gap include clarifying task boundaries, accumulating usage methods, establishing evaluations closer to real-world practice, and keeping experience up to date.73% similar
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