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  1. We present our most recent results about how to transform a Nash Equilibrium problem into a single objective optimization function, and use deep learning to compute the Nash equilibrium. 
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  2. We are the first to introduce the energy function into game theory literature and prove that the zero point of the energy function is a Nash equilibrium. 18 examples are tested using the algorithm. 
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