TY - GEN
T1 - Coordination structures generated by deep reinforcement learning in distributed task executions
AU - Miyashita, Yuki
AU - Sugawara, Toshiharu
PY - 2019
Y1 - 2019
N2 - We investigate the coordination structures generated by deep Q-network (DQN) in a distributed task execution. Cooperation and coordination are the crucial issues in multi-agent systems, and very sophisticated design or learning is required in order to achieve effective structures or regimes of coordination. In this paper, we show the results that agents establish the division of labor in a bottom-up manner by determining their implicit responsible area when input structure for DQN is constituted by their own observation and absolute location.
AB - We investigate the coordination structures generated by deep Q-network (DQN) in a distributed task execution. Cooperation and coordination are the crucial issues in multi-agent systems, and very sophisticated design or learning is required in order to achieve effective structures or regimes of coordination. In this paper, we show the results that agents establish the division of labor in a bottom-up manner by determining their implicit responsible area when input structure for DQN is constituted by their own observation and absolute location.
KW - Cooperation
KW - Coordination
KW - Divisional cooperation
KW - Multi-agent deep reinforcement learning
UR - http://www.scopus.com/inward/record.url?scp=85077026226&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077026226&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85077026226
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 2129
EP - 2131
BT - 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Y2 - 13 May 2019 through 17 May 2019
ER -