Abstract: In the domain of continuous control, deep reinforcement learning (DRL) demonstrates promising results. However, the dependence of DRL on deep neural networks (DNNs) results in the demand for ...

Abstract: In this article, a novel neuro-fuzzy-based evolution-guided Q-learning (EGQL) algorithm is established for solving the optimal control problem of unknown nonlinear systems. To enhance the ...