SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation
SkillHEX is introduced, a closed-loop framework coupling hypothesis-driven self-verification with evidence-guided tree search that translates falsifiable failure hypotheses into executable tests, producing diagnostic evidence as dense reward without additional environment attempts.