ICML-Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning

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Randomized Entity-wise Factorization for
                Multi-Agent Reinforcement Learning

Shariq Iqbal 1 Christian A. Schroeder de Witt 2 Bei Peng 2 Wendelin Bohmer 3 Shimon Whiteson 2 Fei Sha 1 4

            Abstract
   Multi-agent settings in the real world often in-
   volve tasks with varying types and quantities
   of agents and non-agent entities; however, com-
   mon patterns of behavior often emerge among
   these agents/entities. Our method aims to lever-
   age these commonalities ...

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关键词：Randomized randomize Learning earning Cement