TARL-GBS: research on a two-level agent reinforcement learning algorithm for government-driven blockchain sharding
Government blockchain exhibits distinct characteristics including diverse transaction types, stringent permission hierarchies, and complex cross-departmental approval processes. Existing sharding scheduling mechanisms often lead to issues such as unauthorized downgrading of high-access transactions and missing approval...