Update readme.md

qqiang00 · Aug 17, 2017 · 2310db1 · 2310db1
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-# Learn Reinforcement Learning with classic GridWorld and PuckWorld Environment compatitable with Gym library.
-I wrote several basic classes describing the events occured during an agent's interaction with an environment. Also, for RL beginners to better understand how the classic RL algorithms work in discrete observation spaces, I wrote two classic environments: GridWorld and PuckWorld.
+# Learn reinforcement learning with classic GridWorld and PuckWorld Environment compatitable with Gym library.
+I wrote several basic classes describing the events occured during an agent's interaction with an environment. Also, for RL beginners to better understand how the classic RL algorithms work in discrete observation spaces, I wrote two classic environments:GridWorld and PuckWorld. You can copy these two environments into your gym library and just make a little bit of modification to your gym library to use these two environments just like you use the environments in Gym library.
 
 Here is the organization of the whole package:
 
@@ -43,7 +43,10 @@ several seperate .py is provided to understand an algorithm without the classes
 
 Hope you enjoy these classes and expect you to make contribution for this package.
 
+##
 Author: Qiang Ye.
+
 Date: August 16, 2017
+
 License: MIT