Hung-Ming Liu

Auditability Is Not One Property: Rule Overlap, Behavioural Agreement, and Composition in Reinforcement Learning

This work contributes an evidence-bounded audit and composition protocol, not a claim of universal interpretability or autonomous skill generation, and defines auditability as six separately testable predicates: trace integrity, lossless coding, rule coverage, behavioral agreement, composition quality, and value-model...