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Oct, 2023
神经网络中的价值最大化元学习策略
Meta-Learning Strategies through Value Maximization in Neural Networks
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Rodrigo Carrasco-Davis, Javier Masís, Andrew M. Saxe
TL;DR
在一个可行的设定中,我们理论上研究了一种优化控制信号的学习努力框架,该框架能够以完全规范的客观目标:学习过程中的折现累积性能来高效地进行优化。
Abstract
Biological and artificial learning agents face numerous choices about how to learn, ranging from hyperparameter selection to aspects of task distributions like curricula. Understanding how to make these
meta-learning
choices could offer
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