Lightweight params to estimate convergence
@@ -16,18 +16,18 @@ import torch.nn.functional as F
from torch.autograd import Variable
-MCTS_SEARCHES = 3
-MCTS_BATCH_SIZE = 30
+MCTS_SEARCHES = 5
+MCTS_BATCH_SIZE = 8
REPLAY_BUFFER = 5000
LEARNING_RATE = 0.1
BATCH_SIZE = 256
TRAIN_ROUNDS = 10
MIN_REPLAY_TO_TRAIN = 1000
-BEST_NET_WIN_RATIO = 0.55
+BEST_NET_WIN_RATIO = 0.60
-EVALUATE_EVERY_STEP = 50
-EVALUATION_ROUNDS = 100
+EVALUATE_EVERY_STEP = 100
+EVALUATION_ROUNDS = 10
STEPS_BEFORE_TAU_0 = 10
