NoisyNet-Dueling

Closed weights DeepMind June 2017

No estimate

No hardware requirements for this model

The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.

On record

Full specification

Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.

Origin

Who built this model, where, and when it was published.

Organisation
DeepMind
Organisation type
Industry
Country
United Kingdom of Great Britain and Northern Ireland
Published
30 June 2017
Authors
M Fortunato, MG Azar, B Piot, J Menick

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Games
Task
Atari

Size

How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.

Training data
320,000,000 tokens

Availability

Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.

Weights
Closed — provider access only
Model access
Unreleased
Training code
Unreleased

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Why it is tracked
SOTA improvement

not an absoulte SOTA on Atari 2600

Record confidence
Unknown
Citations
1,007

Sources

Where this record came from and when it was last checked.

Reference
Noisy Networks for Exploration
Last updated
25 May 2026

What the numbers mean

Background

NoisyNet-Dueling was published by DeepMind, in United Kingdom of Great Britain and Northern Ireland, in June 2017. The organisation is categorised as industry.

It works in Games, and is recorded as doing atari.

This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.

How it was trained

Around 320,000,000 tokens went into training it.

It is tracked in the underlying dataset for one reason in particular: sOTA improvement.

Answers

NoisyNet-Dueling — common questions

01

How many parameters does NoisyNet-Dueling have?

No parameter count has been published for NoisyNet-Dueling, which is why no memory or speed figure appears on this page.

02

Who created NoisyNet-Dueling?

NoisyNet-Dueling was published by DeepMind, based in United Kingdom of Great Britain and Northern Ireland, categorised as industry.

03

When was NoisyNet-Dueling released?

NoisyNet-Dueling was published in June 2017. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.

04

What is NoisyNet-Dueling used for?

NoisyNet-Dueling works in Games, and is recorded as handling atari. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.

05

What GPU do I need to run NoisyNet-Dueling?

None. NoisyNet-Dueling is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.

06

Is NoisyNet-Dueling open source?

No. NoisyNet-Dueling has not had its weights published, so it exists only as a service controlled by its owner.

Source

Original publication

Record last updated 25 May 2026

The other direction

Looking at it from the other side?

This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.