Update README.md

README.md

@@ -57,7 +57,7 @@ Two steps to use outer computation resources:
 2. call `parl.connect` to initialize parallel communication before creating an object. Calling any function of the objects **does not** consume local computation resources since they are executed elsewhere.
 
 <img src=".github/decorator.png" alt="PARL" width="450"/>
-As shown in the above figure, real actors(orange circle) are running at the cpu cluster, while the learner(blue circle) is running at the local gpu with several remote actors(yellow circle with dotted edge).  
+As shown in the above figure, real actors (orange circle) are running at the cpu cluster, while the learner (blue circle) is running at the local gpu with several remote actors (yellow circle with dotted edge).  
 
 For users, they can write code in a simple way, just like writing multi-thread code, but with actors consuming remote resources. We have also provided examples of parallized algorithms like [IMPALA](examples/IMPALA), [A2C](examples/A2C) and [GA3C](examples/GA3C). For more details in usage please refer to these examples.