A3C FF hs
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
- Google,University of Montreal / Université de Montréal
- Organisation type
- Industry,Academia
- Country
- United States of America, Canada
- Published
- 4 February 2016
- Authors
- V Mnih, AP Badia, M Mirza, A Graves
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Games
- Task
- Atari
- Numerical format
- FP32
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
- 200,000,000 tokens
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
- Highly cited,SOTA improvement
- Record confidence
- Unknown
- Citations
- 9,971
Table 1 SOTA by Mean human-normalized score in 57 Atari games
Sources
Where this record came from and when it was last checked.
- Reference
- Asynchronous Methods for Deep Reinforcement Learning
- Last updated
- 25 May 2026
What the numbers mean
Background
A3C FF hs was published by Google,University of Montreal / Université de Montréal, in United States of America, in February 2016. It comes out of industry,Academia.
It works in Games, and is recorded as doing atari.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Training and provenance
It was trained on about 200,000,000 tokens of text.
The reason it appears in this catalogue at all is highly cited,SOTA improvement.
Answers
A3C FF hs — common questions
What GPU do I need to run A3C FF hs?
None. A3C FF hs 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.
Is A3C FF hs open source?
The licensing for A3C FF hs was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does A3C FF hs have?
No parameter count has been published for A3C FF hs, which is why no memory or speed figure appears on this page.
Who created A3C FF hs?
A3C FF hs was published by Google,University of Montreal / Université de Montréal, based in United States of America, categorised as industry,Academia.
When was A3C FF hs released?
A3C FF hs was published in February 2016. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is A3C FF hs used for?
A3C FF hs 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.
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.