Policy iteration for the deterministic control problems -- a viscosity approach
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Abstract (arXiv)
This paper is concerned with the convergence rate of policy iteration for (deterministic) optimal control problems in continuous time. To overcome the problem of ill-posedness due to lack of regularity, we consider a semi-discrete scheme by adding a viscosity term via finite differences in space. We prove that PI for the semi-discrete scheme converges exponentially fast, and provide a bound on the error induced by the semi-discrete scheme. We also consider the discrete space-time scheme, where both space and time are discretized. Convergence rate of PI and the discretization error are studied.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jan 2023.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 2.
7 papers.
- 2024Regret of exploratory policy improvement and q-learningcited by 10
- 2024Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learningcited by 5
- 2026Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipelinecited by 3
- 2025Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Modelscited by 1
- 2025Solving nonconvex Hamilton--Jacobi--Isaacs equations with PINN-based policy iterationcited by 1
- 2025Physics-Informed Policy Iteration for High-Dimensional Hamilton--Jacobi--Bellman Equations: Interior Error Bounds without Boundary Datacited by 1
- 2026Monotone Neural Policy Iteration for High-Dimensional First-Order Hamilton--Jacobi--Bellman Equationscited by 0
- 2026Monotone Neural Policy Iteration for High-Dimensional First-Order Hamilton--Jacobi--Bellman Equations8 May 2026
- 2026Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline7 May 2026
- 2025Physics-Informed Policy Iteration for High-Dimensional Hamilton--Jacobi--Bellman Equations: Interior Error Bounds without Boundary Data3 Aug 2025
- 2025Solving nonconvex Hamilton--Jacobi--Isaacs equations with PINN-based policy iteration21 Jul 2025
- 2025Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models27 Feb 2025
- 2024Regret of exploratory policy improvement and q-learning2 Nov 2024
- 2024Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning16 Jun 2024