This article proposes a method of reinforcement learning (RL) of an interpretable fuzzy system (IFS) based on a neural fuzzy actor-critic (RLIFS-NFAC) framework. The critic in the RLIFS-NFAC framework is implemented through a neural fuzzy critic, which is built through structure and parameter...
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Energy Security in Ecuador: An Analysis Considering the Interrelationships of the WEF NexusTerneusP谩ez, Carlos FranciscoViteriSalazar, Oswaldo