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Global Sobolev Convergence of Howard Iteration for Finite-Horizon Controlled Diffusions
We study Howard policy iteration for finite-horizon stochastic control problems in which the control enters the diffusion coefficient. Each iteration selects a policy by maximizing the Hamiltonian and evaluates it through a linear parabolic equation. Since the improvement depends on the Hessian, eve
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