Policy iteration converges for entropy-regularized stochastic control via novel Hölder-Sobolev estimates yielding uniform bounds on value functions.
Reinforcement learning in continuous time and space: a stochastic control approach
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Convergence of Policy Iteration for Entropy-Regularized Stochastic Control Problems
Policy iteration converges for entropy-regularized stochastic control via novel Hölder-Sobolev estimates yielding uniform bounds on value functions.