loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Robert Müller ; Hasan Turalic ; Thomy Phan ; Michael Kölle ; Jonas Nüßlein and Claudia Linnhoff-Popien

Affiliation: Institute of Informatics, LMU Munich, Munich, Germany

Keyword(s): Multi-Agent Reinforcement Learning, Communication, Clustering.

Abstract: In the realm of Multi-Agent Reinforcement Learning (MARL), prevailing approaches exhibit shortcomings in aligning with human learning, robustness, and scalability. Addressing this, we introduce ClusterComm, a fully decentralized MARL framework where agents communicate discretely without a central control unit. ClusterComm utilizes Mini-Batch-K-Means clustering on the last hidden layer’s activations of an agent’s policy network, translating them into discrete messages. This approach outperforms no communication and competes favorably with unbounded, continuous communication and hence poses a simple yet effective strategy for enhancing collaborative task-solving in MARL.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.137.223.255

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Müller, R.; Turalic, H.; Phan, T.; Kölle, M.; Nüßlein, J. and Linnhoff-Popien, C. (2024). ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 305-312. DOI: 10.5220/0012384300003636

@conference{icaart24,
author={Robert Müller. and Hasan Turalic. and Thomy Phan. and Michael Kölle. and Jonas Nüßlein. and Claudia Linnhoff{-}Popien.},
title={ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2024},
pages={305-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012384300003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering
SN - 978-989-758-680-4
IS - 2184-433X
AU - Müller, R.
AU - Turalic, H.
AU - Phan, T.
AU - Kölle, M.
AU - Nüßlein, J.
AU - Linnhoff-Popien, C.
PY - 2024
SP - 305
EP - 312
DO - 10.5220/0012384300003636
PB - SciTePress