Evolution is a fundamental process that shapes the biological world we inhabit, and reinforcement learning is a powerful tool used in artificial intelligence to develop intelligent agents that learn from their environment. In recent years, researchers have explored the connections between these two seemingly distinct fields, and have found compelling evidence that they are more closely related than previously thought. This paper examines these connections and their implications, highlighting the potential for reinforcement learning principles to enhance our understanding of evolution and the role of feedback in evolutionary systems.

翻译：进化是塑造我们所居住生物世界的基本过程，而强化学习是人工智能中用于开发能够从环境中学习的智能体的强大工具。近年来，研究者探索了这两个看似截然不同领域之间的联系，并发现了令人信服的证据，表明它们比以往认为的更为密切相关。本文考察了这些联系及其意义，强调了强化学习原理在增强我们对进化理解方面的潜力，以及反馈在进化系统中的作用。