Editorial to the “Evolutionary Reinforcement Learning” Special Issue

摘要: Evolutionary Reinforcement Learning combines the strengths of evolutionary algorithms with reinforcement learning techniques. This special issue offers readers a diverse range of contributions that illuminate different aspects of this hybrid approach. In “Combining Evolution and Deep Reinforcement Learning for Policy Search: A Survey,” Olivier Sigaud presents a comprehensive review of the burgeoning field that merges evolution and deep reinforcement learning. A systematic categorization of 45 algorithms published after 2017 provides a framework for understanding the sprawling diversity of approaches based on the mechanistic integration of the two techniques and hints at the potential for designing new hybrid mechanisms.In“P2P Energy Trading through Prospect Theory, Differential Evolution, and Reinforcement Learning,” Ashutosh Timilsina and Simone Silvestri present a decentralized energy-trading …