HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Coordination through Mutual Notification in Cooperative Multiagent Reinforcement Learning

Daniel Szer 1 François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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 teammates' behavior, as well as possibly different reward functions for each agent. Coordination between agents occurs through communication, namely the mutual notification algorithm.
Document type :
Conference papers
Complete list of metadata

Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2006 - 10:16:29 AM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM


  • HAL Id : inria-00100255, version 1



Daniel Szer, François Charpillet. Coordination through Mutual Notification in Cooperative Multiagent Reinforcement Learning. Autonomous Agents and Multi Agent Systems - AAMAS'04, 2004, New York, USA, 2 p. ⟨inria-00100255⟩



Record views