Pages that link to "Item:Q2188278"
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The following pages link to Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems (Q2188278):
Displaying 40 items.
- Potential-based least-squares policy iteration for a parameterized feedback control system (Q289143) (← links)
- Efficient model-based reinforcement learning for approximate online optimal control (Q340682) (← links)
- Constrained adaptive optimal control using a reinforcement learning agent (Q361040) (← links)
- Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems (Q463819) (← links)
- Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach (Q511735) (← links)
- Optimality and convergence of adaptive optimal control by reinforcement synthesis (Q540204) (← links)
- Integral \(Q\)-learning and explorized policy iteration for adaptive optimal control of continuous-time linear systems (Q694822) (← links)
- Optimal scheduling for reference tracking or state regulation using reinforcement learning (Q1660548) (← links)
- Reinforcement learning for a class of continuous-time input constrained optimal control problems (Q1716659) (← links)
- Reinforcement learning for optimal adaptive control of time delay systems (Q2094035) (← links)
- Optimal adaptive control of partially uncertain linear continuous-time systems with state delay (Q2094036) (← links)
- A hybrid dynamical systems perspective on reinforcement learning for cyber-physical systems: vistas, open problems, and challenges (Q2094057) (← links)
- Adaptive optimal output tracking of continuous-time systems via output-feedback-based reinforcement learning (Q2097732) (← links)
- Model-free optimal control of discrete-time systems with additive and multiplicative noises (Q2103660) (← links)
- Homotopic policy iteration-based learning design for unknown linear continuous-time systems (Q2123225) (← links)
- Human motor learning is robust to control-dependent noise (Q2165361) (← 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)
- Linear quadratic tracking control of unknown systems: a two-phase reinforcement learning method (Q2682307) (← links)
- Optimal control of dynamic systems using a new adjoining cell mapping method with reinforcement learning (Q2833734) (← links)
- A reinforcement learning-based scheme for direct adaptive optimal control of linear stochastic systems (Q3057015) (← links)
- Model-free adaptive control design for nonlinear discrete-time processes with reinforcement learning techniques (Q5027818) (← 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)
- Adaptive dynamic programming for finite-horizon optimal control of linear time-varying discrete-time systems (Q5193971) (← links)
- On Repetitive Learning Control for Periodic Tracking Tasks (Q5281983) (← links)
- An improved iterative algorithm for solving optimal tracking control problems of stochastic systems (Q6047625) (← links)
- Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems (Q6053280) (← links)
- A Lyapunov characterization of robust policy optimization (Q6061923) (← links)
- Two‐loop reinforcement learning algorithm for finite‐horizon optimal control of continuous‐time affine nonlinear systems (Q6071475) (← links)
- Suboptimal reduced control of unknown nonlinear singularly perturbed systems via reinforcement learning (Q6071529) (← links)
- Adaptive optimal control of affine nonlinear systems via identifier-critic neural network approximation with relaxed PE conditions (Q6091310) (← links)
- Reinforcement learning-based optimised control for a class of second-order nonlinear dynamic systems (Q6099278) (← links)
- Optimal output tracking control of linear discrete-time systems with unknown dynamics by adaptive dynamic programming and output feedback (Q6099305) (← links)
- Incremental reinforcement learning and optimal output regulation under unmeasurable disturbances (Q6152587) (← links)
- Eligibility traces and forgetting factor in recursive least-squares-based temporal difference (Q6495643) (← links)
- Adaptive output-feedback control for a class of nonlinear systems based on optimized backstepping technique (Q6495747) (← links)
- Learning-based optimal control of linear time-varying systems over large time intervals (Q6540841) (← links)
- Distributed entropy-regularized multi-agent reinforcement learning with policy consensus (Q6550247) (← links)
- Bias-policy iteration based optimal control for unknown continuous-time linear periodic systems (Q6577532) (← links)
