Pages that link to "Item:Q850310"

The following pages link to Neural network and regression spline value function approximations for stochastic dynamic programming (Q850310):

Displaying 16 items.

• Low-discrepancy sampling for approximate dynamic programming with local approximators (Q336896) (← links)
• Adaptive value function approximation for continuous-state stochastic dynamic programming (Q340326) (← links)
• A comparison of global and semi-local approximation in \(T\)-stage stochastic optimization (Q621672) (← links)
• Restructuring forward step of MARS algorithm using a new knot selection procedure based on a mapping approach (Q740642) (← links)
• Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization (Q819117) (← links)
• On stochastic dynamic programming for solving large-scale planning problems under uncertainty (Q1010297) (← links)
• Application of orthogonal arrays and MARS to inventory forecasting stochastic dynamic programs. (Q1285809) (← links)
• A convex version of multivariate adaptive regression splines (Q1623730) (← links)
• Approximate stochastic dynamic programming for hydroelectric production planning (Q1683084) (← links)
• A linear programming methodology for approximate dynamic programming (Q2023646) (← links)
• Addressing state space multicollinearity in solving an ozone pollution dynamic control problem (Q2029053) (← links)
• Using stochastic programming to train neural network approximation of nonlinear MPC laws (Q2097845) (← links)
• Efficient sampling in approximate dynamic programming algorithms (Q2477014) (← links)
• Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization (Q2664400) (← links)
• Applying experimental design and regression splines to high-dimensional continuous-state stochastic dynamic programming (Q2770078) (← links)
• Optimized ensemble value function approximation for dynamic programming (Q6112619) (← links)