Continuous Policy and Value Iteration for Stochastic Control Problems with Inhomogeneous Synchronous Coupling

We propose a continuous policy-value iteration framework for infinite horizon stochastic control problems, in which the policy evolves through Langevin type dynamics driven by the gradient of the inhomogeneous Hamiltonian, while the value function is updated simultaneously with optimal policy iterat