A REINFORCEMENT LEARNING APPROACH FOR MULTIAGENT NAVIGATION

Francisco Martinez-Gil, Fernando Barber, Miguel Lozano, Francisco Grimaldo, Fernando Fernandez

2010

Abstract

This paper presents a Q-Learning-based multiagent system oriented to provide navigation skills to simulation agents in virtual environments. We focus on learning local navigation behaviours from the interactions with other agents and the environment. We adopt an environment-independent state space representation to provide the required scalability of such kind of systems. In this way, we evaluate whether the learned action-value functions can be transferred to other agents to increase the size of the group without loosing behavioural quality. We explain the learning process defined and the the results of the collective behaviours obtained in a well-known experiment in multiagent navigation: the exit of a place through a door.

Paper Citation

in Harvard Style

Martinez-Gil F., Barber F., Lozano M., Grimaldo F. and Fernandez F. (2010). A REINFORCEMENT LEARNING APPROACH FOR MULTIAGENT NAVIGATION . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 607-610. DOI: 10.5220/0002727906070610

in Bibtex Style

@conference{icaart10,
author={Francisco Martinez-Gil and Fernando Barber and Miguel Lozano and Francisco Grimaldo and Fernando Fernandez},
title={A REINFORCEMENT LEARNING APPROACH FOR MULTIAGENT NAVIGATION},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={607-610},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002727906070610},
isbn={978-989-674-021-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A REINFORCEMENT LEARNING APPROACH FOR MULTIAGENT NAVIGATION
SN - 978-989-674-021-4
AU - Martinez-Gil F.
AU - Barber F.
AU - Lozano M.
AU - Grimaldo F.
AU - Fernandez F.
PY - 2010
SP - 607
EP - 610
DO - 10.5220/0002727906070610