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On myopic strategies in dynamic adversarial team decision problems

机译:动态对抗团队决策问题中的近视策略

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We introduce the notion of myopic strategy for dynamic team decision problems. We present adversarial variants of the Witsenhausen's counterexample for which such strategies are provably team optimal when the actuation noise is larger than each decision maker's sensor noise. This can be interpreted as saying that there is no advantage to coordinating in a team in the presence of significant model uncertainty.
机译:我们介绍了针对动态团队决策问题的近视策略的概念。我们提出威森豪森反例的对抗性变体,当致动噪声大于每个决策者的传感器噪声时,这种策略可证明是团队最优的。这可以解释为说,在存在重大模型不确定性的情况下,在团队中进行协调没有任何优势。

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