Fig. 4. Scalability of SoG with increasing number of neural network evaluations compared to AlphaZero measured on relative Elo scale.

The x axis corresponds to the number of simulations in AlphaZero and s in SoG(s, c). Elo of SoG(s = 800, c) was set to be 0. In chess (A), c = 10 for all runs, with varying s ∈ {800,2400,7200,21600,64800}. In Go (B), we graph SoG using (s, c) ∈ {(800,1), (2000,10), (4000,10), (8000,10), (16000,16).}