Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning

Published in Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Arxiv, ACM

Encoding and decoding a variable number of inputs into a fixed-size latent representation

@inproceedings{10.5555/3545946.3598823,
author = {Kortvelesy, Ryan and Morad, Steven and Prorok, Amanda},
title = {Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning},
year = {2023},
isbn = {9781450394321},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
address = {Richland, SC},
booktitle = {Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems},
pages = {1661–1669},
numpages = {9},
keywords = {graph neural network, autoencoder, set, multi-agent systems},
location = {London, United Kingdom},
series = {AAMAS '23}
}