Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space

A novel non-parametric online actor-Critic reinforcement learning (RL) algorithm to solve optimal regulation problems for a class of continuous-time affine nonlinear dynamical systems and develops a sparse online kernelized actor-critic learning RL method to learn the unknown optimal value function and the optimal control policy in an adaptive fashion.