Evolutionary Reinforcement Learning: A Systematic Review and Future Directions

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions

In response to the limitations of reinforcement learning and Evolutionary Algorithms (EAs) in complex problem-solving, Evolutionary Reinforcement Learning (EvoRL) has emerged as a synergistic solution. This systematic review aims to provide a comprehensive analysis of EvoRL, examining the symbiotic...

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Bibliographic Details
Main Authors: Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Linxin Zou, Yunxuan Liu, Pengcheng Wu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
evolutionary reinforcement learning
evolutionary algorithms
deep learning
policy search
evolution strategy
Online Access:https://www.mdpi.com/2227-7390/13/5/833
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