This repository contains code for Augmentative Topology Agents For Open-Ended Learning. The file structure is as follows:
├── atep -> The main ATEP code
├── dataframes -> Contains csv files to reproduce the figures
├── demos -> Demo videos
├── figures -> The actual figures
├── jobscript.sh -> Main jobscript to reproduce our experiments
├── neat -> Main code for neat
To create the environment, use environment.yml
conda env create -f environment.yml
To reproduce the experiments, run
qsub jobscript.sh
To visualise and recreate the plots, use visuals.ipynb.
If you use the repository, please cite:
@inproceedings{nasir2023augmentative,
title={Augmentative topology agents for open-ended learning},
author={Nasir, Muhammad and Beukman, Michael and James, Steven and Cleghorn, Christopher},
booktitle={Proceedings of the Companion Conference on Genetic and Evolutionary Computation},
pages={671--674},
year={2023}
}