AlphaGo Zero started with random values in its neural net - and reached top level within 72 hours.
Would it typically help or disrupt to start instead with values that are non-random? What I have in mind concretely: Look at 19x19 Go with komi=5.5 In run A you start with random values in the net. In another run B you start with the values that had emerged in the 7.5-NN after 72 hours. Would typically A or B learn better? Would there be a danger that B would not be able to leave the 7.5-"solution"? It is a pity that I/we do not have the hardware of AlphaGo Zero at hand for such experiments. Ingo. _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
