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On the potential for open-endedness in neural networks

On the potential for open-endedness in neural networks

12 December 2018
N. Guttenberg
N. Virgo
A. Penn
ArXivPDFHTML

Papers citing "On the potential for open-endedness in neural networks"

4 / 4 papers shown
Title
Transfer Dynamics in Emergent Evolutionary Curricula
Transfer Dynamics in Emergent Evolutionary Curricula
Aaron Dharna
Amy K. Hoover
Julian Togelius
Lisa Soros
27
6
0
03 Mar 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
Learning to Learn Neural Networks
Learning to Learn Neural Networks
Tom Bosc
26
6
0
19 Oct 2016
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