Xiaoqiang Wu

Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation

The integration of Evolutionary Algorithm (EA) and Reinforcement Learning (RL) has emerged as a promising approach for tackling some challenges in RL, such as sparse rewards, lack of exploration, and brittle convergence properties. However, existing methods often employ actor networks as individuals…