Multiagent Learning with a Noisy Global Reward Signal - researchr publication related

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Scott Proper, Kagan Tumer. Multiagent Learning with a Noisy Global Reward Signal. In Marie desJardins, Michael L. Littman, editors, Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2012, Bellevue, Washington, USA. pages 826-832, AAAI Press, 2013. [doi]

The following publications are possibly variants of this publication:

Multiagent Learning for Black Box System Reward FunctionsKagan Tumer, Adrian K. Agogino. advcs, 12(4-5):475-492, 2009. [doi]

Multi-agent reward analysis for learning in noisy domainsAdrian K. Agogino, Kagan Tumer. atal 2005: 81-88 [doi]

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