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Linking meta-learning to meta-structure
DOI:10.1017/S0140525X24000232.png)
摘要
En 中文
We propose that a principled understanding of meta-learning, as aimed for by the authors, benefits from linking the focus on learning with an equally strong focus on structure, which means to address the question: What are the meta-structures that can guide meta-learning?
期刊
IF:
13.7
论文数:
1.6W
被引数:
1.2W
机构
引用论文
Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning用于鲁棒和自适应分散深度强化学习的分散控制和局部信息
NEURAL NETWORKS
IF6.3
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