A data-based online reinforcement learning algorithm satisfying probably approximately correct principle

Optimal control for discrete-time affine non-linear systems using general value iteration

(2013) H. Li et al.   IET Control Theory and Applications

Stable iterative adaptive dynamic programming algorithm with approximation errors for discrete-time nonlinear systems

(2013) Qinglai Wei et al.   NEURAL COMPUTING & APPLICATIONS

Adaptive neural control using reinforcement learning for a class of robot manipulator

(2013) Li Tang et al.   NEURAL COMPUTING & APPLICATIONS

Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay

(2013) Bin Wang et al.   NEUROCOMPUTING

Full-range adaptive cruise control based on supervised adaptive dynamic programming

(2013) Dongbin Zhao et al.   NEUROCOMPUTING

A supervised Actor–Critic approach for adaptive cruise control

(2013) Dongbin Zhao et al.   SOFT COMPUTING

Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming

(2012) Derong Liu et al.   IEEE Transactions on Automation Science and Engineering

Adaptive optimal control for a class of continuous-time affine nonlinear systems with unknown internal dynamics

(2012) Derong Liu et al.   NEURAL COMPUTING & APPLICATIONS

A hierarchical reinforcement learning approach for optimal path tracking of wheeled mobile robots

(2012) Lei Zuo et al.   NEURAL COMPUTING & APPLICATIONS

A hybrid agent architecture integrating desire, intention and reinforcement learning

(2011) Ah-Hwee Tan et al.   EXPERT SYSTEMS WITH APPLICATIONS

DHP Method for Ramp Metering of Freeway Traffic

(2011) Dongbin Zhao et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints

(2011) Ding Wang et al.   NEURAL COMPUTING & APPLICATIONS

Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains

(2010) Andrey Bernstein et al.   MACHINE LEARNING

Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof

(2008) A. Al-Tamimi et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS