Abstract: In stochastic dynamic environments, multiagent Markov decision processes have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multiagent ...
Abstract: High-dimensional mathematical models of bilinear control systems are often not amenable due to the difficulty in implementation. In this paper, we address the problem of order-reduction for ...
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