Learning-Based Diagnosis and Repair
Learning-Based Diagnosis and Repair
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基于学习的诊断和修复
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
N. Roos
中科院分区：
文献类型：
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作者：
N. Roos
提出了一种新的基于强化学习的故障诊断与修复方法。自私自利的代理在本地了解哪些代理可能为任务提供低质量的服务。在探索和利用学习评估的条件下，证明了其他主体学习评估的正确性。
This paper proposes a new form of diagnosis and repair based on reinforcement learning. Self-interested agents learn locally which agents may provide a low quality of service for a task. The correctness of learned assessments of other agents is proved under conditions on exploration versus exploitation of the learned assessments.