Pages that link to "Item:Q980910"
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The following pages link to Approximate dynamic programming with a fuzzy parameterization (Q980910):
Displaying 24 items.
- Parameter-free sampled fictitious play for solving deterministic dynamic programming problems (Q289136) (← links)
- Solving average cost Markov decision processes by means of a two-phase time aggregation algorithm (Q300040) (← links)
- Proximal algorithms and temporal difference methods for solving fixed point problems (Q721950) (← links)
- Continuous-action planning for discounted infinite-horizon nonlinear optimal control with Lipschitz values (Q1642208) (← links)
- Active network management for electrical distribution systems: problem formulation, benchmark, and approximate solution (Q1642966) (← links)
- Modeling and identification of microbial batch fermentation using fuzzy expert system (Q1789530) (← links)
- The computational complexity of some fuzzy dynamic programs (Q1963050) (← links)
- On infinite horizon active fault diagnosis for a class of non-linear non-Gaussian systems (Q2018404) (← links)
- A linear programming methodology for approximate dynamic programming (Q2023646) (← links)
- Predictive market making via machine learning (Q2120114) (← links)
- Fitted Q-iteration by functional networks for control problems (Q2293779) (← links)
- Adaptive cruise control via adaptive dynamic programming with experience replay (Q2318252) (← links)
- Approximate dynamic programming for stochastic \(N\)-stage optimization with application to optimal consumption under uncertainty (Q2450902) (← links)
- A unified DC programming framework and efficient DCA based approaches for large scale batch reinforcement learning (Q2633537) (← links)
- Adaptive critic design with graph Laplacian for online learning control of nonlinear systems (Q2795795) (← links)
- Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate the Future (Q2822302) (← links)
- Experience selection in deep reinforcement learning for control (Q4558146) (← links)
- Three bounded proofs for nonlinear multi‐input multi‐output approximate dynamic programming based on the <scp>L</scp>yapunov stability theory (Q4563340) (← links)
- (Q4636981) (← links)
- Population based optimization via differential evolution and adaptive fractional gradient descent (Q5082451) (← links)
- (Q5148965) (← links)
- (Q5214220) (← links)
- Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration (Q5378202) (← links)
- Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation (Q6488708) (← links)
