Pages that link to "Item:Q2797467"
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The following pages link to An approximate dynamic programming algorithm for monotone value functions (Q2797467):
Displaying 17 items.
- A perturbation approach to a class of discounted approximate value iteration algorithms with Borel spaces (Q330284) (← links)
- Adaptive value function approximation for continuous-state stochastic dynamic programming (Q340326) (← links)
- Energy management for stationary electric energy storage systems: a systematic literature review (Q1681513) (← links)
- Linear programming formulation for non-stationary, finite-horizon Markov decision process models (Q1728357) (← links)
- Shape constraints in economics and operations research (Q1730901) (← links)
- Exploiting structure in adaptive dynamic programming algorithms for a stochastic batch service problem (Q1847251) (← links)
- Meso-parametric value function approximation for dynamic customer acceptances in delivery routing (Q2183325) (← links)
- MIDAS: a mixed integer dynamic approximation scheme (Q2188240) (← links)
- Poisoning finite-horizon Markov decision processes at design time (Q2668608) (← links)
- A numerical study of Markov decision process algorithms for multi-component replacement problems (Q2670522) (← links)
- Deep neural networks algorithms for stochastic control problems on finite horizon: numerical applications (Q2671220) (← links)
- An Optimal Approximate Dynamic Programming Algorithm for the Lagged Asset Acquisition Problem (Q3169027) (← links)
- An optimal algorithm for finding all the jumps of a monotone step-function (Q3723701) (← links)
- Optimal Liquidation in a Level-I Limit Order Book for Large-Tick Stocks (Q4553793) (← links)
- Solving high-dimensional optimal stopping problems using deep learning (Q5014845) (← links)
- Algorithms for solving high dimensional PDEs: from nonlinear Monte Carlo to machine learning (Q5019943) (← links)
- Risk-Averse Approximate Dynamic Programming with Quantile-Based Risk Measures (Q5219554) (← links)
