In this paper, we wish to investigate the dynamics of information transf...
We create an artificial system of agents (attention-based neural network...
In this work, we propose a novel memory-based multi-agent meta-learning
...
Traditional anatomical analyses captured only a fraction of real phenomi...
When optimizing against the mean loss over a distribution of predictions...
Natural evolution gives the impression of leading to an open-ended proce...
We investigate the use of attentional neural network layers in order to ...
We train a network to generate mappings between training sets and
classi...
Controlling embodied agents with many actuated degrees of freedom is a
c...
We introduce a method by which a generative model learning the joint
dis...
The introduction of convolutional layers greatly advanced the performanc...
We present a loss function for neural networks that encompasses an idea ...