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The authors propose an adaptive, self-learning fault classifier based on modified fuzzy Q learning (MFQL) for transmission lines. Proposed MFQL fault classifier is able to achieve very high classification accuracy with relatively small number of samples. The authors’ is a first attempt at designing a fault identifier using reinforcement learning for fault segregation in transmission lines. The authors’...