se the aggregated value would include evaluations from too many poor moves that didn't have to be made: a position with one winning move and five losing moves could look quite bad and be passed over. <a href="https://translate.google.com/translate?sl=en&amp;tl=en&amp;u=https://sci-hub.se/10.1007/s10472-011-9258-6">Rosin (2011)</a> gives a method for assigning more exploration resources to more promising moves when this information is somehow known ahead of time, and this is exactly what the trained policy h