Pages that link to "Item:Q2031059"
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The following pages link to A neural network-based policy iteration algorithm with global \(H^2\)-superlinear convergence for stochastic games on domains (Q2031059):
Displaying 12 items.
- Time-extremal navigation in arbitrary winds on conformally flat Riemannian manifolds (Q2032015) (← links)
- Extensions of the deep Galerkin method (Q2148058) (← links)
- Deep ReLU network expression rates for option prices in high-dimensional, exponential Lévy models (Q2238770) (← links)
- State-dependent Riccati equation feedback stabilization for nonlinear PDEs (Q2692793) (← links)
- Regularity and Stability of Feedback Relaxed Controls (Q3382776) (← links)
- (Q4998939) (← links)
- Optimal polynomial feedback laws for finite horizon control problems (Q6072899) (← links)
- A dynamical neural network approach for solving stochastic two-player zero-sum games (Q6077009) (← links)
- Linear Convergence of a Policy Gradient Method for Some Finite Horizon Continuous Time Control Problems (Q6140987) (← links)
- Gradient flows for regularized stochastic control problems (Q6576858) (← links)
- A fast iterative PDE-based algorithm for feedback controls of nonsmooth mean-field control problems (Q6598495) (← links)
- Consistent smooth approximation of feedback laws for infinite horizon control problems with non-smooth value functions (Q6632963) (← links)
