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DQN-2015

Parameters
1.7M
Published
Feb 25, 2015

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.

Full record
Organization
Google
Country of organization
United States
Domain
Games
Task
Atari
Parameters
1,693,362
Dataset size
12.5M
Citations
25,403
More from Google
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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