DQN-2015 is an AI model developed by Google (United States), first published in February 2015. It works in the games domain, on tasks such as atari.
Epoch AI has no training-compute estimate for this model. The model has 1,693,362 parameters. It was trained on roughly 12.5M datapoints.
The reference paper has 25,403 citations.