A branching particle system approximation for solving partially observed stochastic optimal control problems via stochastic maximum principle
DOI10.1007/S40072-023-00294-WzbMATH Open1537.93796MaRDI QIDQ6548536
Hexiang Wan, Guangchen Wang, Jie Xiong
Publication date: 1 June 2024
Published in: Stochastic and Partial Differential Equations. Analysis and Computations (Search for Journal in Brave)
maximum principleforward-backward stochastic differential equationZakai equationbranching particle systemstochastic gradient decentoptimal control of partially observed system
Optimal stochastic control (93E20) Stochastic partial differential equations (aspects of stochastic analysis) (60H15)
Cites Work
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- A branching particle system approximation for nonlinear stochastic filtering
- Stochastic partial differential equations: an introduction
- Controlled partially observed diffusions with correlated noise
- Probability methods for approximations in stochastic control and for elliptic equations
- Particle approximations for a class of stochastic partial differential equations
- Fundamentals of stochastic filtering
- Hamilton-Jacobi-Bellman equations for the optimal control of the Duncan-Mortensen-Zakai equation
- Particle representations for a class of nonlinear SPDEs
- A mean-field stochastic control problem with partial observations
- On discretization schemes for stochastic evolution equations
- An efficient numerical algorithm for solving data driven feedback control problems
- \(W^{2, p}\)-solutions of parabolic SPDEs in general domains
- A branching particle system approximation for a class of FBSDEs
- Generalised particle filters with Gaussian mixtures
- Stochastic differential equations, backward SDEs, partial differential equations
- Kalman-Bucy filtering equations of forward and backward stochastic systems and applications to recursive optimal control problems
- Controlled Markov processes and viscosity solutions
- Multidimensional diffusion processes.
- A Linear-Quadratic Optimal Control Problem of Forward-Backward Stochastic Differential Equations With Partial Information
- Approximation of the Zakaï Equation by the Splitting up Method
- Optimal Controls for Stochastic Partial Differential Equations
- A Maximum Principle for Partial Information Backward Stochastic Control Problems with Applications
- The Maximum Principle for Optimal Control of Diffusions with Partial Information
- Existence of an Optimal Markovian Filter for the Control under Partial Observations
- Stochastic partial differential equations and filtering of diffusion processes
- Optimal Control for Partially Observed Diffusions
- On the Existence of Optimal Relaxed Controls of Stochastic Partial Differential Equations
- The Maximum Principle for Partially Observed Optimal Control of Stochastic Differential Equations
- Nonlinear Filtering Revisited: A Spectral Approach
- Classes of Nonlinear Partially Observable Stochastic Optimal Control Problems with Explicit Optimal Control Laws
- Optimal Control of Stochastic Linear Distributed Parameter Systems
- Stochastic Evolution Systems
- An Efficient Gradient Projection Method for Stochastic Optimal Control Problems
- An Introduction to Optimal Control of FBSDE with Incomplete Information
- General necessary conditions for partially observed optimal stochastic controls
- On $L_p $-Theory of Stochastic Partial Differential Equations in the Whole Space
- Maximum Principles for Forward-Backward Stochastic Control Systems with Correlated State and Observation Noises
- Stochastic Partial Differential Equations
- Stochastic Equations in Infinite Dimensions
- Backward Stochastic Differential Equations
- A New Kind of Accurate Numerical Method for Backward Stochastic Differential Equations
- Mean‐Variance Portfolio Selection under Partial Information
- Numerical Algorithms for Forward-Backward Stochastic Differential Equations
- Stochastic Control Theory
- On the Separation Theorem of Stochastic Control
- Stochastic evolution equations
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