loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Wiem Zemzem and Moncef Tagina

Affiliation: COSMOS Laboratory, National School of Computer Science and University of Manouba, Tunisia

Keyword(s): Distributed Reinforcement Learning, A Cooperative Action Selection Strategy, A Relay Agent, Unknown and Stationary Environments.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Intelligent Agents ; Internet Technology ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: This paper focuses on distributed reinforcement learning in cooperative multi-agent systems, where several simultaneously and independently acting agents have to perform a common foraging task. To do that, a novel cooperative action selection strategy and a new kind of agents, called "relay agent", are proposed. The conducted simulation tests indicate that our proposals improve coordination between learners and are extremely efficient in terms of cooperation in large, unknown and stationary environments.

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 44.210.240.31

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:
Zemzem, W. and Tagina, M. (2017). Multi-agent Coordination using Reinforcement Learning with a Relay Agent. In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-247-9; ISSN 2184-4992, SciTePress, pages 537-545. DOI: 10.5220/0006327305370545

@conference{iceis17,
author={Wiem Zemzem. and Moncef Tagina.},
title={Multi-agent Coordination using Reinforcement Learning with a Relay Agent},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2017},
pages={537-545},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006327305370545},
isbn={978-989-758-247-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Multi-agent Coordination using Reinforcement Learning with a Relay Agent
SN - 978-989-758-247-9
IS - 2184-4992
AU - Zemzem, W.
AU - Tagina, M.
PY - 2017
SP - 537
EP - 545
DO - 10.5220/0006327305370545
PB - SciTePress