MULTIAGENT LEARNING FOR BLACK BOX SYSTEM REWARD FUNCTIONS

DOI10.1142/S0219525909002295zbMath1343.68208OpenAlexW2169560253MaRDI QIDQ3644888

Adrian Agogino, Kagan Tumer

Publication date: 13 November 2009

Published in: Advances in Complex Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219525909002295

zbMATH Keywords

multiagent learningmultiagent coordinationblack box reward functions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Rationality and learning in game theory (91A26) Agent technology and artificial intelligence (68T42)

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Cites Work

• Conflict resolution for air traffic management: a study in multiagent hybrid systems
• OPTIMAL PAYOFF FUNCTIONS FOR MEMBERS OF COLLECTIVES

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