diff --git a/README.md b/README.md
index d82b9df..dcfc4f3 100644
--- a/README.md
+++ b/README.md
@@ -44,6 +44,9 @@ Tianshou(天授) is a reinforcement learning platform. The following image illus
 ## TODO
 Search based method parallel.
 
+<font color=Red> Write comments. Please do not use abbreviations unless others can know it well. (e.g. adv can short for advantage/adversarial, please use the full name instead) </font>
+<font color=Red> Please name the module formally. (e.g. use more lower case "_", I think a module called "Batch" seems terrible)</font>
+
 YongRen: Policy Wrapper, in order of Gaussian, DQN and DDPG
 
 TongzhengRen: losses, in order of ppo, pg, DQN, DDPG with management of placeholders
diff --git a/tianshou/data/Batch.py b/tianshou/data/Batch.py
index 6ae251f..6b33c1b 100644
--- a/tianshou/data/Batch.py
+++ b/tianshou/data/Batch.py
@@ -2,6 +2,7 @@ import numpy as np
 import gc
 
 
+# TODO: Refactor with tf.train.slice_input_producer, tf.train.Coordinator, tf.train.QueueRunner
 class Batch(object):
     """
     class for batch datasets. Collect multiple states (actions, rewards, etc.) on-policy.