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Updated: Sep 14, 2025

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实验数据效率强化学习,使用一组代用模型进行实验

Jiazhou Jiang1, Zhiyong Chen1

  • 1School of Engineering, University of Newcastle, Callaghan, NSW, 2308, Australia.

Neural networks : the official journal of the International Neural Network Society
|July 22, 2025
PubMed
概括

本研究引入了使用符号回归的双替代模型,以提高强化学习 (RL) 样本效率. 这种方法通过创建准确的合成环境来训练RL代理来显著减少对现实世界的实验数据的需求.

关键词:
动力学建模 动力学建模组合模型模型组合模型强化学习是一种强化学习.替代模型的替代模型象征性回归是一种象征性回归.

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