Pages that link to "Item:Q694822"

The following pages link to Integral \(Q\)-learning and explorized policy iteration for adaptive optimal control of continuous-time linear systems (Q694822):

Displaying 33 items.

• Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning (Q458982) (← links)
• Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems (Q463819) (← links)
• Reinforcement \(Q\)-learning for optimal tracking control of linear discrete-time systems with unknown dynamics (Q463893) (← links)
• Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach (Q511735) (← links)
• Non-zero sum Nash Q-learning for unknown deterministic continuous-time linear systems (Q900691) (← links)
• Reinforcement learning solution for HJB equation arising in constrained optimal control problem (Q1669182) (← 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)
• Optimal adaptive control of partially uncertain linear continuous-time systems with state delay (Q2094036) (← links)
• Adaptive optimal output tracking of continuous-time systems via output-feedback-based reinforcement learning (Q2097732) (← links)
• Homotopic policy iteration-based learning design for unknown linear continuous-time systems (Q2123225) (← links)
• Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs (Q2242915) (← links)
• Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties (Q2282884) (← links)
• Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design (Q2342464) (← links)
• On integral generalized policy iteration for continuous-time linear quadratic regulations (Q2628425) (← links)
• Optimal control of port-Hamiltonian systems: a continuous-time learning approach (Q2665352) (← links)
• On the effect of probing noise in optimal control LQR via Q-learning using adaptive filtering algorithms (Q2673621) (← links)
• Experimental study on a novel simultaneous control and identification of a 3-DOF delta robot using model reference adaptive control (Q2676099) (← links)
• Model-free \(H_\infty\) control design for unknown continuous-time linear system using adaptive dynamic programming (Q2821216) (← links)
• A reinforcement learning-based scheme for direct adaptive optimal control of linear stochastic systems (Q3057015) (← links)
• Finite-horizon optimal control for continuous-time uncertain nonlinear systems using reinforcement learning (Q5027971) (← links)
• Optimal control for unknown mean-field discrete-time system based on Q-Learning (Q5029154) (← links)
• (Q5053195) (← links)
• Self-improving Q-learning based controller for a class of dynamical processes (Q5097057) (← links)
• Experience replay–based output feedback Q‐learning scheme for optimal output tracking control of discrete‐time linear systems (Q5128864) (← links)
• Output‐feedback H_∞ quadratic tracking control of linear systems using reinforcement learning (Q5222718) (← links)
• Learning‐based iterative modular adaptive control for nonlinear systems (Q5222720) (← links)
• Online identifier–actor–critic algorithm for optimal control of nonlinear systems (Q5280130) (← links)
• Approximate Q Learning for Controlled Diffusion Processes and Its Near Optimality (Q6136230) (← links)
• Model-free policy iteration approach to NCE-based strategy design for linear quadratic Gaussian games (Q6165338) (← links)
• Data-driven adaptive optimal control for discrete-time linear time-invariant systems (Q6644414) (← links)
• Mean field LQG social optimization: a reinforcement learning approach (Q6664801) (← links)