Pages that link to "Item:Q5027971"
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The following pages link to Finite-horizon optimal control for continuous-time uncertain nonlinear systems using reinforcement learning (Q5027971):
Displaying 15 items.
- Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems (Q463819) (← links)
- Reinforcement learning for a class of continuous-time input constrained optimal control problems (Q1716659) (← links)
- Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems (Q2188278) (← links)
- Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties (Q2198266) (← links)
- Simplified optimized control using reinforcement learning algorithm for a class of stochastic nonlinear systems (Q2660937) (← links)
- An approach to solving optimal control problems of nonlinear systems by introducing detail-reward mechanism in deep reinforcement learning (Q2688600) (← links)
- Continuous-time reinforcement learning for robust control under worst-case uncertainty (Q5028006) (← links)
- (Q5053195) (← links)
- (Q5149240) (← links)
- Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems (Q6053280) (← links)
- Reinforcement Learning of Structured Stabilizing Control for Linear Systems With Unknown State Matrix (Q6055270) (← links)
- Two‐loop reinforcement learning algorithm for finite‐horizon optimal control of continuous‐time affine nonlinear systems (Q6071475) (← links)
- A new fractional-order developed type-2 fuzzy control for a class of nonlinear systems (Q6090334) (← links)
- Deep reinforcement learning in finite-horizon to explore the most probable transition pathway (Q6118140) (← links)
- Sliding-mode surface-based adaptive actor-critic optimal control for switched nonlinear systems with average dwell time (Q6146206) (← links)
