Coordination through Mutual Notification in Cooperative Multiagent Reinforcement Learning

Authors:
Daniel Szer;Francois Charpillet
Affiliations:
INRIA-LORIA;INRIA-LORIA
Venue:
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Year:
2004

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Abstract

We present a new algorithm for cooperative reinforcement learning in multiagent systems. Our main concern is the correct coordination between the members of the team: We seek to obtain an optimal solution for the team as a whole while keeping the learning as much decentralized as possible. We consider autonomous and independently learning agents that do not store any explicit information about their teammatesý behavior, as well as possibly different reward functions for each agent. Coordination between agents occurs through communication, namely the mutual notification algorithm.