Abstract: The NL2SQL task aims to translate user natural language queries into executable SQL statements, thereby lowering the technical barrier for non-expert users to operate relational databases.
Abstract: This paper presents an explainable deep-reinforcement learning (DRL)-based safety-aware optimal adaptive tracking (SOAT) scheme for a class of nonlinear discrete-time (DT) affine systems ...