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Modeling a disaster management with Decentralized Markov Decision Processes

机译:使用分散马尔可夫决策过程对灾难管理进行建模

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In this paper, we propose to model the disaster mitigation, search and rescue problem with a Decentralized Markov Decision Process (DEC-MDP). This type of problem is confronted to several impediments like the time pressure, the lack of resources, … However, the basic DEC-MDP model does not include any constraint on the execution of tasks. Thus, the aim of this work is to adapt the DEC-MDP in order to take into consideration temporal constraints, precedence constraints, uncertain durations of action execution and constraints on communication between agents.
机译:在本文中,我们建议使用分散马尔可夫决策过程(DEC-MDP)对减灾,搜索和救援问题进行建模。这种类型的问题面临着一些障碍,例如时间压力,资源不足等。但是,基本的DEC-MDP模型不包含对任务执行的任何约束。因此,这项工作的目的是调整DEC-MDP,以考虑时间约束,优先约束,动作执行的不确定持续时间以及代理之间的通信约束。

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