RL for helicopter flight
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
- University of California (UC) Berkeley,Stanford University
- Organisation type
- Academia,Academia
- Country
- United States of America
- Published
- 9 March 2006
- Authors
- H. Kim, Michael Jordan, Shankar Sastry, Andrew Ng
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Driving
- Task
- Helicopter driving
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
- tokens
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Citations
- 375
Sources
Where this record came from and when it was last checked.
- Reference
- Autonomous helicopter flight via reinforcement learning
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
RL for helicopter flight was published by University of California (UC) Berkeley,Stanford University, in the country recorded as United States of America, during March 2006. The category the publisher falls under is academia,Academia.
It works in the domain of Driving, and is recorded as performing the task of helicopter driving.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
RL for helicopter flight — common questions
RL for helicopter flight— 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.
RL for helicopter flight— 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.
RL for helicopter flight— who created it?
It was published by University of California (UC) Berkeley,Stanford University, based in United States of America, an organisation categorised as academia,Academia.
RL for helicopter flight— when was it released?
It was published in March 2006. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
RL for helicopter flight— what is it used for?
It works in the domain of Driving, and is recorded as handling the task of helicopter driving. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
RL for helicopter flight— 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.
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.