Either variance back-propagation has problems or this method significantly reduces variance . I am badly in need of confirmation.
I will redo the experiment starting from a fully expanded depth=4 tree to see if the _little_ amount of splitting done here is the problem but I doubt it.
Oh btw using ply < 5 is like not using it at all for a 100mil simulation limit. I am getting almost the same result.
Code: Select all
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0 h2h3 1.789764e+015 +- 1.545989e+012 1.799388e+015 +- 6.372870e+011 562047 8457
0 h2h4 2.597051e+015 +- 1.838673e+012 2.627847e+015 +- 7.750630e+011 795004 9329
0 g2g3 2.474903e+015 +- 1.788144e+012 2.499154e+015 +- 7.428794e+011 751911 9345
0 g2g4 2.195935e+015 +- 1.655045e+012 2.209957e+015 +- 6.872392e+011 644141 9328
0 f2f3 1.531590e+015 +- 1.383416e+012 1.544761e+015 +- 5.679566e+011 450055 8457
0 f2f4 2.027310e+015 +- 1.643477e+012 2.079814e+015 +- 6.873335e+011 635168 8929
0 e2e3 7.137330e+015 +- 3.074284e+012 7.131212e+015 +- 1.238727e+012 2222535 13134
0 e2e4 7.243093e+015 +- 3.081155e+012 7.269241e+015 +- 1.238179e+012 2232483 13160
0 d2d3 4.566226e+015 +- 2.292394e+012 4.586694e+015 +- 9.377974e+011 1235774 11959
0 d2d4 6.307939e+015 +- 2.841795e+012 6.347772e+015 +- 1.149333e+012 1899092 12435
0 c2c3 2.734648e+015 +- 1.902546e+012 2.737344e+015 +- 7.814243e+011 851199 9272
0 c2c4 3.099784e+015 +- 1.997836e+012 3.114230e+015 +- 8.166066e+011 938599 9744
0 b2b3 2.381318e+015 +- 1.765490e+012 2.431944e+015 +- 7.361962e+011 732980 9345
0 b2b4 2.388839e+015 +- 1.767280e+012 2.395950e+015 +- 7.280229e+011 734465 9332
0 a2a3 1.801649e+015 +- 1.556979e+012 1.826304e+015 +- 6.556620e+011 570068 8457
0 a2a4 2.552336e+015 +- 1.824559e+012 2.564241e+015 +- 7.459759e+011 782845 9329
0 g1h3 2.109354e+015 +- 1.653995e+012 2.134619e+015 +- 6.822970e+011 643323 8881
0 g1f3 2.681181e+015 +- 1.811460e+012 2.702902e+015 +- 7.531710e+011 771646 9748
0 b1c3 2.703905e+015 +- 1.936624e+012 2.726999e+015 +- 7.965778e+011 881964 9755
0 b1a3 2.078523e+015 +- 1.681251e+012 2.108154e+015 +- 6.982210e+011 664701 8885
Perft 6.240268e+016 +- 8.988691e+012 6.283853e+016 +- 3.685740e+012
wasted 0.00
6.240545e+016 +- 8.966540e+012 6.283846e+016 +- 3.676064e+012
6.240805e+016 +- 8.944016e+012 6.283841e+016 +- 3.666372e+012
6.241133e+016 +- 8.922104e+012 6.283838e+016 +- 3.656735e+012
6.241562e+016 +- 8.900580e+012 6.283823e+016 +- 3.647164e+012
6.241830e+016 +- 8.878802e+012 6.283805e+016 +- 3.637569e+012
6.242108e+016 +- 8.856980e+012 6.283855e+016 +- 3.628065e+012