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Meta-learners' learning dynamics are unlike learners'

Meta-learners' learning dynamics are unlike learners'

3 May 2019
Neil C. Rabinowitz
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Meta-learners' learning dynamics are unlike learners'"

12 / 12 papers shown
Title
Multi-agent cooperation through learning-aware policy gradients
Multi-agent cooperation through learning-aware policy gradientsInternational Conference on Learning Representations (ICLR), 2024
Alexander Meulemans
Seijin Kobayashi
J. Oswald
Nino Scherrer
Eric Elmoznino
Blake A. Richards
Guillaume Lajoie
Blaise Agüera y Arcas
João Sacramento
173
1
0
24 Oct 2024
Uncovering mesa-optimization algorithms in Transformers
Uncovering mesa-optimization algorithms in Transformers
J. Oswald
Eyvind Niklasson
Maximilian Schlegel
Seijin Kobayashi
Nicolas Zucchet
...
Mark Sandler
Blaise Agüera y Arcas
Max Vladymyrov
Razvan Pascanu
João Sacramento
174
79
0
11 Sep 2023
Meta-Learned Models of Cognition
Meta-Learned Models of CognitionBehavioral and Brain Sciences (BBS), 2023
Marcel Binz
Ishita Dasgupta
Akshay K. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
232
37
0
12 Apr 2023
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learningCommunication on Applied Mathematics and Computation (CAMC), 2022
Z. Xu
Yaoyu Zhang
Yaoyu Zhang
FaML
292
114
0
19 Jan 2022
Meta-trained agents implement Bayes-optimal agents
Meta-trained agents implement Bayes-optimal agents
Vladimir Mikulik
Grégoire Delétang
Tom McGrath
Tim Genewein
Miljan Martic
Shane Legg
Pedro A. Ortega
OODFedML
210
45
0
21 Oct 2020
Learning Not to Learn: Nature versus Nurture in Silico
Learning Not to Learn: Nature versus Nurture in SilicoAAAI Conference on Artificial Intelligence (AAAI), 2020
R. T. Lange
Henning Sprekeler
236
10
0
09 Oct 2020
Hidden Incentives for Auto-Induced Distributional Shift
Hidden Incentives for Auto-Induced Distributional Shift
David M. Krueger
Tegan Maharaj
Jan Leike
185
56
0
19 Sep 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement
  Learning with Clairvoyant Experts
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant ExpertsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Gilwoo Lee
Brian Hou
Sanjiban Choudhury
S. Srinivasa
BDLOffRL
161
8
0
07 Feb 2020
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent
  Communication)
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa
O. Afanasjeva
Simon Andersson
Joseph Davidson
N. Guttenberg
Petr Hlubucek
Martin Poliak
Jaroslav Vítků
Jan Feyereisl
138
10
0
03 Dec 2019
Theory of the Frequency Principle for General Deep Neural Networks
Theory of the Frequency Principle for General Deep Neural NetworksCSIAM Transactions on Applied Mathematics (TCAM), 2019
Yaoyu Zhang
Zheng Ma
Zhi-Qin John Xu
Yaoyu Zhang
145
90
0
21 Jun 2019
A type of generalization error induced by initialization in deep neural
  networks
A type of generalization error induced by initialization in deep neural networksMathematical and Scientific Machine Learning (MSML), 2019
Yaoyu Zhang
Zhi-Qin John Xu
Yaoyu Zhang
Zheng Ma
245
52
0
19 May 2019
Training behavior of deep neural network in frequency domain
Training behavior of deep neural network in frequency domainInternational Conference on Neural Information Processing (ICONIP), 2018
Zhi-Qin John Xu
Yaoyu Zhang
Yan Xiao
AI4CE
427
367
0
03 Jul 2018
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