VECA is currently preparing for the public release of Bayley-4 cognitive tasks, Unity packages, and additional system optimizations. Sorry for the delay.
Supported OS: Windows 10 or Linux (Tested on Ubuntu 18.04 and 20.04)
You need 2 python packages: numpy and gdown. You can install them with following command.
pip install numpy gdown
- Clone this veca repository.
git clone https://github.com/GGOSinon/VECA.git
- If you want to execute the environment on the same machine with your training algorithm, (Local execution)
python example.py
- If you want to execute the environment on the different machine (Remote environment execution)
python example_envorchestrator.py # On the machine you want to execute the environment
and then execute
python example_remoteenv.py # On the machine you want to execute the training algorithm
Make sure that the port of example_remoteenv.py is exposed for remote access.
- For the list of currently supported tasks, please refer to the
example.pyscript for more information.
This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No.2019-0-01371, Development of brain-inspired AI with human-like intelligence
If you find this work useful in your research, please cite
@article{park2021veca,
title={VECA: A Toolkit for Building Virtual Environments to Train and Test Human-like Agents},
author={Park, Kwanyoung and Oh, Hyunseok and Lee, Youngki},
journal={arXiv preprint arXiv:2105.00762},
year={2021}
}