HRA
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
- Maluuba,Microsoft
- Organisation type
- Industry,Industry
- Country
- Canada, United States of America
- Published
- 13 June 2017
- Authors
- H Van Seijen, M Fatemi, J Romoff, R Laroche
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Games
- Task
- Atari game: Ms. Pac-Man
- 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
- 150,000,000 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
- SOTA improvement
- Record confidence
- Unknown
- Citations
- 285
Table 1 "With the best combination, HRA not only outperforms the state-of-the-art on both metrics, it also significantly outperforms the human score, convincingly demonstrating the strength of HRA."
Sources
Where this record came from and when it was last checked.
- Reference
- Hybrid Reward Architecture for Reinforcement Learning
- Last updated
- 25 May 2026
What the numbers mean
What this model is
HRA was published by Maluuba,Microsoft, in the country recorded as Canada, during June 2017. The category the publisher falls under is industry,Industry.
It works in the domain of Games, and is recorded as performing the task of atari game: Ms. Pac-Man.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
How it was trained
The training set ran to roughly 150,000,000 tokens of text.
The reason it appears in this catalogue at all: sOTA improvement.
Answers
HRA — common questions
HRA— who created it?
It was published by Maluuba,Microsoft, based in Canada, an organisation categorised as industry,Industry.
HRA— when was it released?
It 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.
HRA— what is it used for?
It works in the domain of Games, and is recorded as handling the task of atari game: Ms. Pac-Man. These are the areas it was designed around; they describe intent rather than a hard boundary.
HRA— what GPU do I need to run it?
None. This 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.
HRA— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
HRA— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
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.