HyperNEAT

Parameters

239.7K

Published

Mar 5, 2014

HyperNEAT is an AI model developed by University of Texas at Austin (United States), first published in March 2014. It works in the games domain, on tasks such as atari.

Epoch AI has no training-compute estimate for this model. The model has 239,712 parameters. It was trained on roughly 750M datapoints.

The reference paper has 195 citations.

Full record

Organization: University of Texas at Austin
Country of organization: United States
Domain: Games
Task: Atari
Parameters: 239,712
Dataset size: 750M
Citations: 195