Pages that link to "Item:Q1650646"
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The following pages link to Reinforcement learning for optimal feedback control. A Lyapunov-based approach (Q1650646):
Displaying 48 items.
- Model-based reinforcement learning for approximate optimal regulation (Q899267) (← links)
- Optimal policies for passive learning controllers (Q912070) (← links)
- Reinforcement learning for a class of continuous-time input constrained optimal control problems (Q1716659) (← links)
- Chaos suppression via Euler-Lagrange control design for a class of chemical reacting system (Q1720810) (← links)
- Finite-horizon optimal control of discrete-time linear systems with completely unknown dynamics using Q-learning (Q1983705) (← links)
- Data-based reinforcement learning approximate optimal control for an uncertain nonlinear system with control effectiveness faults (Q1987267) (← links)
- Output feedback reinforcement learning control for linear systems (Q2082094) (← links)
- Learning-based adaptive optimal output regulation of linear and nonlinear systems: an overview (Q2082757) (← links)
- Mixed density methods for approximate dynamic programming (Q2094030) (← links)
- Reinforcement learning for optimal adaptive control of time delay systems (Q2094035) (← links)
- A hybrid dynamical systems perspective on reinforcement learning for cyber-physical systems: vistas, open problems, and challenges (Q2094057) (← links)
- Safe exploration in model-based reinforcement learning using control barrier functions (Q2103658) (← links)
- Human motor learning is robust to control-dependent noise (Q2165361) (← links)
- State estimation and stabilization of discrete-time systems with uncertain nonlinearities and disturbances (Q2173178) (← links)
- Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems (Q2188278) (← links)
- Quantized adaptive tracking control for nonlinear systems with actuator backlash compensation (Q2328744) (← links)
- Simplified optimized control using reinforcement learning algorithm for a class of stochastic nonlinear systems (Q2660937) (← links)
- Approximate optimal influence over an agent through an uncertain interaction dynamic (Q2665724) (← links)
- Temporal logic guided safe model-based reinforcement learning: a hybrid systems approach (Q2677109) (← links)
- An approach to solving optimal control problems of nonlinear systems by introducing detail-reward mechanism in deep reinforcement learning (Q2688600) (← links)
- Adaptive Optimal Feedback Control with Learned Internal Dynamics Models (Q3568603) (← links)
- Learning optimal control in deterministic systems (Q4228400) (← links)
- Optimal chaos control through reinforcement learning (Q4515116) (← links)
- Kalman Filter Control Embedded into the Reinforcement Learning Framework (Q4823751) (← links)
- Learning Control of Dynamical Systems Based on Markov Decision Processes: Research Frontiers and Outlooks (Q4926326) (← links)
- Robust Reinforcement Learning for Stochastic Linear Quadratic Control with Multiplicative Noise (Q5018404) (← links)
- Finite-horizon optimal control for continuous-time uncertain nonlinear systems using reinforcement learning (Q5027971) (← links)
- Reinforcement Learning-Aided Performance-Driven Fault-Tolerant Control of Feedback Control Systems (Q5092203) (← links)
- Experience replay–based output feedback Q‐learning scheme for optimal output tracking control of discrete‐time linear systems (Q5128864) (← links)
- Output‐feedback H<sub>∞</sub> quadratic tracking control of linear systems using reinforcement learning (Q5222718) (← links)
- A set‐based model‐free reinforcement learning design technique for nonlinear systems (Q5222719) (← links)
- Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems (Q6053280) (← links)
- Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators (Q6053345) (← links)
- Off‐policy integral reinforcement learning‐based optimal tracking control for a class of nonzero‐sum game systems with unknown dynamics (Q6054473) (← links)
- Two‐loop reinforcement learning algorithm for finite‐horizon optimal control of continuous‐time affine nonlinear systems (Q6071475) (← links)
- A data‐based private learning framework for enhanced security against replay attacks in cyber‐physical systems (Q6089838) (← links)
- Undiscounted reinforcement learning for infinite-time optimal output tracking and disturbance rejection of discrete-time LTI systems with unknown dynamics (Q6115933) (← links)
- Data‐assisted control: A framework development by exploiting NASA Generic Transport platform (Q6117642) (← links)
- Specified convergence rate guaranteed output tracking of discrete-time systems via reinforcement learning (Q6119751) (← links)
- Control policy learning design for vehicle urban positioning via BeiDou navigation (Q6130957) (← links)
- Differential dynamic programming for finite‐horizon zero‐sum differential games of nonlinear systems (Q6197867) (← links)
- Decentralized optimal tracking control for large-scale nonlinear systems with tracking error constraints (Q6494294) (← links)
- The occupation kernel method for nonlinear system identification (Q6555693) (← links)
- Online accelerated data-driven learning for optimal feedback control of discrete-time partially uncertain systems (Q6558271) (← links)
- Safe adaptive output-feedback optimal control of a class of linear systems (Q6577225) (← links)
- Infinite-time robust optimal output tracking of continuous-time linear systems using undiscounted reinforcement learning (Q6644403) (← links)
- Concurrent learning for adaptive Pontryagin's maximum principle of nonlinear systems with inequality constraints (Q6646987) (← links)
- Online reinforcement learning control via discontinuous gradient (Q6652277) (← links)
