Training Datasets Accompanying "A Control-Centric Benchmark For Video Prediction", ICLR 2023
Abstract/Contents
- Abstract
- Training datasets and benchmark data corresponding to the International Conference on Learning Representations (ICLR 2023) paper "A Control-Centric Benchmark for Video Prediction".
Description
| Type of resource | Dataset |
|---|---|
| Publication date | April 19, 2023 |
Creators/Contributors
| Author | Tian, Stephen |
|---|---|
| Author | Finn, Chelsea |
| Author | Wu, Jiajun |
Subjects
| Subject | video prediction, robotic manipulation |
|---|---|
| Genre | Data |
| Genre | Database |
| Genre | Experimental audio/video |
| Genre | Data sets |
| Genre | Dataset |
| Genre | Databases |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under an MIT License.
Preferred citation
- Preferred citation
- Tian, S., Finn, C., and Wu, J. (2023). Training Datasets Accompanying "A Control-Centric Benchmark For Video Prediction", ICLR 2023 . Stanford Digital Repository. Available at https://purl.stanford.edu/cw843qn4148. https://doi.org/10.25740/cw843qn4148.
Collection
Stanford Research Data
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- Contact
- tians@stanford.edu
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