LEARNING FROM ACTIONS NOT TAKEN IN MULTIAGENT SYSTEMS

DOI10.1142/S0219525909002301zbMath1192.68543OpenAlexW2164851236MaRDI QIDQ3644887

Kagan Tumer, Newsha Khani

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/s0219525909002301

zbMATH Keywords

multiagent learningcounterfactual rewarddifference reward

Mathematics Subject Classification ID

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

Cites Work

• What evolutionary game theory tells us about multiagent learning
• OPTIMAL PAYOFF FUNCTIONS FOR MEMBERS OF COLLECTIVES

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