Deep artificial neural networks (DNNs) trained through backpropagation
p...
We aimed to explore the capability of deep learning to approximate the
f...
We present a temporally extended variation of the successor representati...
Animals are able to rapidly infer from limited experience when sets of s...
Exploration in environments with sparse rewards is difficult for artific...
Recent research developing neural network architectures with external me...
A central problem to understanding intelligence is the concept of
genera...