Pages that link to "Item:Q511735"

The following pages link to Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach (Q511735):

Displaying 48 items.

• Efficient model-based reinforcement learning for approximate online optimal control (Q340682) (← links)
• Reinforcement \(Q\)-learning for optimal tracking control of linear discrete-time systems with unknown dynamics (Q463893) (← links)
• Model-free \(H_{\infty }\) control design for unknown linear discrete-time systems via Q-learning with LMI (Q608439) (← links)
• Model-free event-triggered control algorithm for continuous-time linear systems with optimal performance (Q680566) (← links)
• Integral \(Q\)-learning and explorized policy iteration for adaptive optimal control of continuous-time linear systems (Q694822) (← links)
• Model-free \(Q\)-learning designs for linear discrete-time zero-sum games with application to \(H^\infty\) control (Q875484) (← links)
• Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem (Q980921) (← links)
• Data-driven approximate Q-learning stabilization with optimality error bound analysis (Q1737866) (← links)
• Finite-horizon optimal control of discrete-time linear systems with completely unknown dynamics using Q-learning (Q1983705) (← links)
• Bias-policy iteration based adaptive dynamic programming for unknown continuous-time linear systems (Q2063829) (← links)
• Model-free LQR design by Q-function learning (Q2071928) (← links)
• Dissipativity-based verification for autonomous systems in adversarial environments (Q2094038) (← links)
• Controlled interacting particle algorithms for simulation-based reinforcement learning (Q2107628) (← links)
• Homotopic policy iteration-based learning design for unknown linear continuous-time systems (Q2123225) (← links)
• A Q-learning predictive control scheme with guaranteed stability (Q2220029) (← links)
• Convergence results for an averaged LQR problem with applications to reinforcement learning (Q2236442) (← links)
• Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs (Q2242915) (← links)
• Non-equilibrium dynamic games and cyber-physical security: a cognitive hierarchy approach (Q2328122) (← links)
• Reduced-dimensional reinforcement learning control using singular perturbation approximations (Q2664206) (← links)
• Optimal control of port-Hamiltonian systems: a continuous-time learning approach (Q2665352) (← links)
• Minimax Q-learning control for linear systems using the Wasserstein metric (Q2681392) (← links)
• Finite-horizon near optimal adaptive control of uncertain linear discrete-time systems (Q2793925) (← links)
• Finite-time stochastic linear quadratic optimal control based on \(Q\)-learning (Q3386228) (← links)
• Finite-horizon optimal control for continuous-time uncertain nonlinear systems using reinforcement learning (Q5027971) (← links)
• Continuous-time reinforcement learning for robust control under worst-case uncertainty (Q5028006) (← links)
• Optimal control for unknown mean-field discrete-time system based on Q-Learning (Q5029154) (← links)
• (Q5053195) (← links)
• A Q-Learning Algorithm for Discrete-Time Linear-Quadratic Control with Random Parameters of Unknown Distribution: Convergence and Stabilization (Q5093265) (← links)
• Self-improving Q-learning based controller for a class of dynamical processes (Q5097057) (← links)
• LQG Online Learning (Q5380837) (← links)
• Convergence of a Q-learning Variant for Continuous States and Actions (Q5415766) (← links)
• Modified general policy iteration based adaptive dynamic programming for unknown discrete‐time linear systems (Q6069262) (← links)
• Nonlinear control using human behavior learning (Q6092022) (← links)
• Approximate Q Learning for Controlled Diffusion Processes and Its Near Optimality (Q6136230) (← links)
• An adaptive dynamic programming-based algorithm for infinite-horizon linear quadratic stochastic optimal control problems (Q6138373) (← links)
• Model-free policy iteration approach to NCE-based strategy design for linear quadratic Gaussian games (Q6165338) (← links)
• Robust optimal control of the multi‐input systems with unknown disturbance based on adaptive integral reinforcement learning Q‐function (Q6197960) (← links)
• Solution of the linear quadratic regulator problem of black box linear systems using reinforcement learning (Q6199564) (← links)
• Discounted linear Q-learning control with novel tracking cost and its stability (Q6496122) (← links)
• Learning-based actuator selection for increased attack resilience of uncertain systems (Q6537287) (← links)
• Learning-based optimal control of linear time-varying systems over large time intervals (Q6540841) (← links)
• Adaptive reinforcement learning in control design for cooperating manipulator systems (Q6578781) (← links)
• On the effect of clock offsets and quantization on learning-based adversarial games (Q6585413) (← links)
• Finite-horizon and infinite-horizon linear quadratic optimal control problems: a data-driven Euler scheme (Q6593750) (← links)
• Data-driven direct adaptive risk-sensitive control of stochastic systems (Q6595039) (← links)
• Explainable data-driven Q-learning control for a class of discrete-time linear autonomous systems (Q6595363) (← links)
• Robust output group formation tracking control of heterogeneous multi-agent systems with multiple leaders using reinforcement learning (Q6636460) (← links)
• A stabilizing reinforcement learning approach for sampled systems with partially unknown models (Q6646984) (← links)