diff --git a/learn.py b/learn.py
index 19268b2..d58de34 100644
--- a/learn.py
+++ b/learn.py
@@ -10,6 +10,7 @@
 from utils.sc_wrapper import single_net_sc2env
 from smac.env import StarCraft2Env
 from model import QMIX_agent
+import time, datetime
 
 def qmix_learning(
     args=None
@@ -19,6 +20,9 @@ def qmix_learning(
     '''
     assert args.save_model_freq % args.target_update_freq == 0
     last_test_t, num_test = -args.test_freq - 1, 0
+    if args.seed == None:
+        time.sleep(3)
+        args.seed = int(''.join(reversed(datetime.datetime.now().strftime("%m%d%H%M%S"))))
     np.random.seed(args.seed)
     torch.manual_seed(args.seed)
     # Initialize Env
diff --git a/main.py b/main.py
index e615083..bd09178 100644
--- a/main.py
+++ b/main.py
@@ -17,7 +17,7 @@ def get_args():
     parser.add_argument('--learning-rate', type=float, default=5e-4)
     parser.add_argument('--grad-norm-clip', type=float, default=10)
     # seed
-    parser.add_argument('--seed', type=int, default=0)
+    parser.add_argument('--seed', type=int, default=None)
     # ddqn
     parser.add_argument('--is-ddqn', type=int, default=True)
     # per