Negotiating team formation using deep reinforcement learning

When autonomous agents interact in the same environment, they must often cooperate to achieve their goals. One way for agents to cooperate effectively is to form a team, make a binding agreement on a joint plan, and execute it. However, when agents are self-interested, the gains from team formation...

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Veröffentlicht in:	Artificial intelligence 2020-11, Vol.288, p.103356, Article 103356
Hauptverfasser:	Bachrach, Yoram, Everett, Richard, Hughes, Edward, Lazaridou, Angeliki, Leibo, Joel Z., Lanctot, Marc, Johanson, Michael, Czarnecki, Wojciech M., Graepel, Thore
Format:	Artikel
Sprache:	eng
Schlagworte:	Coalition formation Cooperative games Deep learning Game theory Multi-agent systems Multiagent systems Reagents Reinforcement learning Shapley value Team formation
Online-Zugang:	Volltext
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