Open AccessMultiagent Learning with a Noisy Global Reward Signal
Author(s) -
Scott Proper,
Kagan Tumer
Publication year - 2013
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v27i1.8580
Subject(s) - reinforcement learning , computer science , signal (programming language) , temporal difference learning , domain (mathematical analysis) , artificial intelligence , multi agent system , function (biology) , mathematics , mathematical analysis , programming language , evolutionary biology , biology
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