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Authors: Peter Vrancx ; Yann-Michaël De Hauwere and Ann Nowé

Affiliation: Vrije Universiteit Brussel, Belgium

Keyword(s): Multi-agent reinforcement learning, Agent coordination, Transfer learning.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Autonomous Systems ; Collective Intelligence ; Computational Intelligence ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Multi-Agent Systems ; Soft Computing ; Software Engineering ; Symbolic Systems ; Uncertainty in AI

Abstract: Transfer learning leverages an agent’s experience in a source task in order to improve its performance in a related target task. Recently, this technique has received attention in reinforcement learning settings. Training a reinforcement learning agent on a suitable source task allows the agent to reuse this experience to significantly improve performance on more complex target problems. Currently, reinforcement learning transfer approaches focus almost exclusively on speeding up learning in single agent systems. In this paper we investigate the potential of applying transfer learning to the problem of agent coordination in multi-agent systems. The idea underlying our approach is that agents can determine how to deal with the presence of other agents in a relatively simple training setting. By then generalizing this knowledge, the agents can use this experience to speed up learning in more complex multi-agent learning tasks.

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Paper citation in several formats:
Vrancx, P.; De Hauwere, Y. and Nowé, A. (2011). TRANSFER LEARNING FOR MULTI-AGENT COORDINATION. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-8425-41-6; ISSN 2184-433X, SciTePress, pages 263-272. DOI: 10.5220/0003185602630272

@conference{icaart11,
author={Peter Vrancx. and Yann{-}Michaël {De Hauwere}. and Ann Nowé.},
title={TRANSFER LEARNING FOR MULTI-AGENT COORDINATION},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2011},
pages={263-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003185602630272},
isbn={978-989-8425-41-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - TRANSFER LEARNING FOR MULTI-AGENT COORDINATION
SN - 978-989-8425-41-6
IS - 2184-433X
AU - Vrancx, P.
AU - De Hauwere, Y.
AU - Nowé, A.
PY - 2011
SP - 263
EP - 272
DO - 10.5220/0003185602630272
PB - SciTePress