Pages that link to "Item:Q1626885"

The following pages link to Output feedback Q-learning for discrete-time linear zero-sum games with application to the \(H_\infty\) control (Q1626885):

Displaying 26 items.

• \(\mathrm{H}_\infty\) control of linear discrete-time systems: off-policy reinforcement learning (Q518303) (← links)
• Model-free \(Q\)-learning designs for linear discrete-time zero-sum games with application to \(H^\infty\) control (Q875484) (← links)
• Model-free \(H_\infty\) tracking control for de-oiling hydrocyclone systems via off-policy reinforcement learning (Q2065210) (← links)
• Model-free optimal control of discrete-time systems with additive and multiplicative noises (Q2103660) (← links)
• Output feedback adaptive dynamic programming for linear differential zero-sum games (Q2208596) (← links)
• Q-learning-based target selection for bearings-only autonomous navigation (Q2235617) (← links)
• Reinforcement learning and cooperative \(H_\infty\) output regulation of linear continuous-time multi-agent systems (Q2682314) (← links)
• Q(λ)-learning adaptive fuzzy logic controllers for pursuit-evasion differential games (Q3107257) (← links)
• Data-driven adaptive dynamic programming for partially observable nonzero-sum games via <i>Q</i>-learning method (Q5025895) (← links)
• Experience replay–based output feedback Q‐learning scheme for optimal output tracking control of discrete‐time linear systems (Q5128864) (← links)
• <i>H</i>_<i>∞</i> optimal control of unknown linear systems by adaptive dynamic programming with applications to time‐delay systems (Q6060452) (← links)
• Output‐feedback Q‐learning for discrete‐time linear <i>H</i>^∞ tracking control: A Stackelberg game approach (Q6090136) (← links)
• Optimal game theoretic solution of the pursuit‐evasion intercept problem using on‐policy reinforcement learning (Q6092363) (← links)
• Model-free finite-horizon optimal control of discrete-time two-player zero-sum games (Q6099271) (← links)
• Inverse reinforcement learning for identification of linear-quadratic zero-sum differential games (Q6099685) (← links)
• Undiscounted reinforcement learning for infinite-time optimal output tracking and disturbance rejection of discrete-time LTI systems with unknown dynamics (Q6115933) (← links)
• Safe adaptive learning algorithm with neural network implementation for H∞ control of nonlinear safety‐critical system (Q6136617) (← links)
• Incremental reinforcement learning and optimal output regulation under unmeasurable disturbances (Q6152587) (← links)
• Robust <i>H</i>_∞ tracking of linear <scp>discrete‐time</scp> systems using <scp>Q‐learning</scp> (Q6152769) (← links)
• \(\mathcal{H}_\infty\) tracking learning control for discrete-time Markov jump systems: a parallel off-policy reinforcement learning (Q6177279) (← links)
• Off-policy reinforcement learning algorithm for robust optimal control of uncertain nonlinear systems (Q6498573) (← links)
• Distributed optimal consensus of multi-agent systems: a randomized parallel approach (Q6537292) (← links)
• Q-learning for noise covariance adaptation in extended Kalman filter (Q6578455) (← links)
• Finite-horizon Q-learning for discrete-time zero-sum games with application to \(H_{\infty}\) control (Q6581158) (← links)
• Zero-sum game-based \(H_\infty\) optimal finite-time prescribed performance control for nonlinear multiagent systems with actuator faults (Q6591156) (← links)
• Infinite-time robust optimal output tracking of continuous-time linear systems using undiscounted reinforcement learning (Q6644403) (← links)