A survey on Evolutionary Reinforcement Learning algorithms

Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Lijia Ma, Jianqiang Li, Zhong Ming, Jianyong Chen

Abstract: Highlights•This paper provides an extensive survey of ERLs.•The paper classifies ERLs by their frameworks and evaluates strengths and limitations.•Various experiments showcase the methods’ performance across diverse environments.