B. Low

COBRA-Skills is introduced, an efficient framework that formulates skill optimization as budgeted sequential optimization over a dynamically evolving candidate space and remains robust to changes in the agent harness and performs effectively when the target model itself is used for skill generation and refinement.

Forget exponential complexity: Adalina slashes the query complexity for approximating Shapley values with a provably adaptive, linear-time, linear-space algorithm.