Demystifying AlphaGo Zero as AlphaGo GAN
This work provides a qualitative reinterpretation of AlphaGo Zero for the AI research community, suggesting it is incremental rather than groundbreaking.
The authors analyzed AlphaGo Zero and argued it can be understood as a specially structured GAN system with inherent good convergence properties, concluding its success may not signify a new generation of AI.
The astonishing success of AlphaGo Zero\cite{Silver_AlphaGo} invokes a worldwide discussion of the future of our human society with a mixed mood of hope, anxiousness, excitement and fear. We try to dymystify AlphaGo Zero by a qualitative analysis to indicate that AlphaGo Zero can be understood as a specially structured GAN system which is expected to possess an inherent good convergence property. Thus we deduct the success of AlphaGo Zero may not be a sign of a new generation of AI.