diff --git a/tianshou/core/mcts/mcts.py b/tianshou/core/mcts/mcts.py
index 98ab056..f733f83 100644
--- a/tianshou/core/mcts/mcts.py
+++ b/tianshou/core/mcts/mcts.py
@@ -198,7 +198,10 @@ class MCTS(object):
         t1 = time.time()
         value = node.children[new_action].expansion(self.evaluator, self.action_num)
         t2 = time.time()
-        node.children[new_action].backpropagation(value + 0.)
+        if self.inverse:
+            node.children[new_action].backpropagation(-value + 0.)
+        else:
+            node.children[new_action].backpropagation(value + 0.)
         t3 = time.time()
         return t1 - t0, t2 - t1, t3 - t2
 
diff --git a/tianshou/core/mcts/mcts_virtual_loss.py b/tianshou/core/mcts/mcts_virtual_loss.py
index f27d8a3..5826bd5 100644
--- a/tianshou/core/mcts/mcts_virtual_loss.py
+++ b/tianshou/core/mcts/mcts_virtual_loss.py
@@ -278,8 +278,12 @@ class MCTSVirtualLoss(object):
                                                         priors[i],
                                                         nodes[i].inverse)
 
-        for i in range(self.batch_size):
-            nodes[i].children[new_actions[i]].backpropagation(values[i] + 0.)
+        if self.inverse:
+            for i in range(self.batch_size):
+                nodes[i].children[new_actions[i]].backpropagation(-values[i] + 0.)
+        else:
+            for i in range(self.batch_size):
+                nodes[i].children[new_actions[i]].backpropagation(values[i] + 0.)
 
 
 ##### TODO