Continual Reinforcement Learning with Complex Synapses

Christos Kaplanis
Christos Kaplanis

ICML, pp. 2497-2506, 2018.

Cited by: 26|Bibtex|Views2|Links
EI

Abstract:

Unlike humans, who are capable of continual learning over their lifetimes, artificial neural networks have long been known to suffer from a phenomenon known as catastrophic forgetting, whereby new learning can lead to abrupt erasure of previously acquired knowledge. Whereas in a neural network the parameters are typically modelled as scal...More

Code:

Data:

Your rating :
0

 

Tags
Comments