Linking meta-learning to meta-structure

被引：0

作者：

Schilling, Malte ^{[1
]}

Ritter, Helge J. ^{[2
]}

Ohl, Frank W. ^{[3
,4
]}

机构：

[1] Univ Munster, Comp Sci Dept, Autonomous Intelligent Syst Grp, Munster, Germany

[2] Bielefeld Univ, Fac Technol, CITEC, Neuroinformat Grp, Bielefeld, Germany

[3] Leibniz Inst Neurobiol, Dept Syst Physiol Learning, Magdeburg, Germany

[4] Otto Von Guericke Univ, Inst Biol, Magdeburg, Germany

来源：

BEHAVIORAL AND BRAIN SCIENCES | 2024年 / 47卷

关键词：

D O I：

10.1017/S0140525X24000232

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

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?

引用

页数：58

共 7 条

[1] How animals move: An integrative view
Dickinson, MH
Farley, CT
Full, RJ
Koehl, MAR
Kram, R
Lehman, S
[J]. SCIENCE, 2000, 288 (5463) : 100 - 106
[2] Enhanced cognitive flexibility in reversal learning induced by removal of the extracellular matrix in auditory cortex
Happel, Max F. K.
Niekisch, Hartmut
Rivera, Laura L. Castiblanco
Ohl, Frank W.
Deliano, Matthias
Frischknecht, Renato
[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (07) : 2800 - 2805
[3] Reversal Learning in Humans and Gerbils: Dynamic Control Network Facilitates Learning
Jarvers, Christian
Brosch, Tobias
Brechmann, Andre
Woldeit, Marie L.
Schulz, Andreas L.
Ohl, Frank W.
Lommerzheim, Marcel
Neumann, Heiko
[J]. FRONTIERS IN NEUROSCIENCE, 2016, 10
[4] Hierarchical motor control in mammals and machines
Merel, Josh
Botvinick, Matthew
Wayne, Greg
[J]. NATURE COMMUNICATIONS, 2019, 10 (1)
[5] Reinforcement learning in artificial and biological systems
Neftci, Emre O.
Averbeck, Bruno B.
[J]. NATURE MACHINE INTELLIGENCE, 2019, 1 (03) : 133 - 143
[6] Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement Learning
Schilling, Malte
Hammer, Barbara
Ohl, Frank W.
Ritter, Helge J.
Wiskott, Laurenz
[J]. COGNITIVE COMPUTATION, 2024, 16 (05) : 2358 - 2373
[7] Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning
Schilling, Malte
Melnik, Andrew
Ohl, Frank W.
Ritter, Helge J.
Hammer, Barbara
[J]. NEURAL NETWORKS, 2021, 144 : 699 - 725

← 1 →