fix #79

README.md

@@ -299,4 +299,4 @@ If you find Tianshou useful, please cite it in your publications.
 
 Tianshou was previously a reinforcement learning platform based on TensorFlow. You can check out the branch [`priv`](https://github.com/thu-ml/tianshou/tree/priv) for more detail. Many thanks to [Haosheng Zou](https://github.com/HaoshengZou)'s pioneering work for Tianshou before version 0.1.1.
 
-We would like to thank [TSAIL](http://ml.cs.tsinghua.edu.cn/) and [Institute for Artificial Intelligence, Tsinghua University](http://ai.tsinghua.edu.cn/) for providing such an excellent AI research platform.
+We would like to thank [TSAIL](http://ml.cs.tsinghua.edu.cn/) and [Institute for Artificial Intelligence, Tsinghua University](http://ml.cs.tsinghua.edu.cn/thuai/) for providing such an excellent AI research platform.

docs/_static/css/style.css

@@ -116,6 +116,14 @@ footer p {
     display: none;
 }
 
+.ethical-fixedfooter {
+    display: none;
+}
+
+.ethical-content {
+    display: none;
+}
+
 /* For hidden headers that appear in TOC tree */
 /* see http://stackoverflow.com/a/32363545/3343043 */
 .rst-content .hidden-section {

docs/tutorials/cheatsheet.rst

@@ -3,7 +3,7 @@ Cheat Sheet
 
 This page shows some code snippets of how to use Tianshou to develop new algorithms / apply algorithms to new scenarios.
 
-By the way, some of these issues can be resolved by using a ``gym.wrapper``. It could be a universal solution in the policy-environment interaction.
+By the way, some of these issues can be resolved by using a ``gym.wrapper``. It could be a universal solution in the policy-environment interaction. But you can also use the batch processor :ref:`preprocess_fn`.
 
 .. _network_api: