Pages that link to "Item:Q2450902"
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The following pages link to Approximate dynamic programming for stochastic \(N\)-stage optimization with application to optimal consumption under uncertainty (Q2450902):
Displaying 10 items.
- Low-discrepancy sampling for approximate dynamic programming with local approximators (Q336896) (← links)
- Feedback approximation of the stochastic growth model by genetic neural networks (Q853580) (← links)
- Value function approximation in the presence of uncertainty and inequality constraints (Q1350642) (← links)
- Welfare and research and development incentive effects of uniform and differential pricing schemes (Q2155217) (← 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)
- A Comparison of Game-Theoretic Models for Parallel Trade (Q4961345) (← links)
- Suboptimal Policies for Stochastic $$N$$-Stage Optimization: Accuracy Analysis and a Case Study from Optimal Consumption (Q4979399) (← links)
- LQG Online Learning (Q5380837) (← links)
- Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation (Q6488708) (← links)
