|
--- |
|
license: mit |
|
task_categories: |
|
- reinforcement-learning |
|
--- |
|
This repository contains the [Meta-World](https://arxiv.org/abs/1910.10897) datasets as used in [Learning to Modulate Pre-trained Models in RL](https://arxiv.org/abs/2306.14884): |
|
- The `2M` folder contains trajectories (2M transitions) for every task are stored as separate `.npz`. |
|
- The `2M_separate` folder contains the same data, but every trajectory is stored as a separate `.hdf5` file and every task is stored as a `.tar.gz` file. |
|
|
|
|
|
Download the dataset using the `huggingface-cli`: |
|
``` |
|
huggingface-cli download ml-jku/meta-world --local-dir=./meta-world --repo-type dataset |
|
``` |
|
For dataloading we refer to our Github repository: https://github.com/ml-jku/L2M |
|
|
|
Citation: |
|
``` |
|
@article{schmied2024learning, |
|
title={Learning to Modulate pre-trained Models in RL}, |
|
author={Schmied, Thomas and Hofmarcher, Markus and Paischer, Fabian and Pascanu, Razvan and Hochreiter, Sepp}, |
|
journal={Advances in Neural Information Processing Systems}, |
|
volume={36}, |
|
year={2024} |
|
} |
|
``` |
