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Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Direct Adaptive Control for Stochastic Systems with Risk-Sensitive Indices
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Integral sliding mode secure control for linear systems subject to malicious attacks: A hybrid learning scheme
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Reinforcement learning: Application to PWR's core power level control
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Dual policy iteration-reinforcement learning to optimize the detection quality of passive remote sensing device
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Data‐driven adaptive control design for active stabilization of stratospheric airship imaging platform: A characteristic model approach
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Optimal Energy Allocation Algorithm of Li-Battery/Super capacitor Hybrid Energy Storage System Based on Dynamic Programming Algorithm
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Data-Driven Adaptive Optimal Control for Linear Systems With Structured Time-Varying Uncertainty
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$H_\infty$ Control for a Class of Discrete-Time Systems via Data-Based Policy Iteration With Application to Wind Turbine Control
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Online Learning Cooperative Control for Heterogeneous Multi-Agent Systems
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Adaptive Optimal Stabilization Regulation of Continuous-Time Systems via Virtual System and Measurement Feedback
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Q-Learning Design for Discrete-Time Stochastic Zero-Sum Games
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Data-Driven and Internal Model Control for Optimal Output Regulation of Linear Systems with an Assured Convergence Rate
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Adaptive Optimal Control of Unknown Systems Using Online Learning Algorithm
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Data-Driven Optimal Structured Control for Unknown Symmetric Systems
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Value Iteration and Data-Driven Optimal Output Regulation of Linear Continuous-Time Systems
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Data-driven robust optimal control design for uncertain cascaded systems using value iteration
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Value iteration, adaptive dynamic programming, and optimal control of nonlinear systems
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Simultaneous state and parameter estimation for second-order nonlinear systems
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Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems
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A New Result on Robust Adaptive Dynamic Programming for Uncertain Partially Linear Systems
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Model-Free Global Stabilization of Continuous-Time Linear Systems with Saturating Actuators Using Adaptive Dynamic Programming
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Stability guarantees for nonlinear discrete-time systems controlled by approximate value iteration
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Reinforcement Learning for Adaptive Periodic Linear Quadratic Control
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Adaptive Dynamic Programming and Data-Driven Cooperative Optimal Output Regulation with Adaptive Observers
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Regularizing policy iteration for recursive feasibility and stability
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Extremum-Seeking Policy Iteration for Data-Driven LQR
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Extremum Seeking and Adaptive Dynamic Programming for Distributed Feedback Optimization
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Efficient Inverse Reinforcement Learning for Unknown Discrete-Time Systems
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Incremental Policy Iteration for Unknown Nonlinear Systems with Stability and Performance Guarantees
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Data-Driven Optimal Control for Half-Vehicle Suspension System via Adaptive Dynamic Programming
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Adaptive Optimal Control for Discrete-Time Linear Systems via Hybrid Iteration
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Bias-Policy Iteration Based Adaptive Dynamic Programming for First-Order Fully Actuated Systems
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Model-Free Optimal Control of PV-DC Microgrid Integration Using Value Iteration Algorithm
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Preliminary Results for LQR-Based Adaptive Learning Control
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Model-Free Finite-Horizon Zero-Sum Differential Games for Nonlinear Systems
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Data-Driven Optimal Control for Continuous- Time Linear Nonzero-Sum Games
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Reinforcement Learning Based Solution to Two-player Zero-sum Game Using Differentiator
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Reinforcement Learning for Vision-Based Lateral Control of a Self-Driving Car
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Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads
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Optimal Control Based on Reinforcement Learning for a Class of Nonlinear Singularly Perturbed Systems
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Value iteration and adaptive optimal control for linear continuous-time systems
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A Survey on Reinforcement Learning based Adaptive Optimal Control Design
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An Adaptive Approach to Whole-Body Balance Control of Wheel-Bipedal Robot Ollie
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Off-Policy Q-Learning for Infinite Horizon LQR Problem with Unknown Dynamics
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Cloud-Edge Structure Based Adaptive Optimal Aeration Control for WWTP
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Identification and Optimal Output Regulation of Linear Systems Using Integral Reinforcement Learning
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Reinforcement learning for linear continuous-time systems: an incremental learning approach
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Data-based optimal tracking of autonomous nonlinear switching systems
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Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications
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A Homotopy Method for Continuous-Time Model-Free LQR Control Based on Policy Iteration
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$H_{\infty}$ Optimal Output Regulation of Unknown Linear Systems via an Adaptive Dynamic Programming and Internal Model
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