Update README.md

README.md

@@ -10,14 +10,14 @@ I use Deep-renforcement learning for the first POC and Actor-Critic A2C for the
 
 # Introduction
 
-    There are two types of traffic lights. Influencers and Followers. 
-    Influencers are the traffic lights that train and followers are trafic lights symmetrical to their influencers. A follower will take the opposite action of an influencer. 
-    This allows the case managed two traffic lights that do not have to be green at the same time
+There are two types of traffic lights. Influencers and Followers. 
+Influencers are the traffic lights that train and followers are trafic lights symmetrical to their influencers. A follower will take the opposite action of an influencer. 
+This allows the case managed two traffic lights that do not have to be green at the same time
 
-    When we create an influencer we can assign him a follower and this follower will take the opposite actions of this influencer.
-    To create a cluster of traffic lights that communicate with each other for the regularisation of a zone it's simple. When we create a fire we give the id of the other traffic lights
+When we create an influencer we can assign him a follower and this follower will take the opposite actions of this influencer.
+To create a cluster of traffic lights that communicate with each other for the regularisation of a zone it's simple. When we create a fire we give the id of the other traffic lights
 
-    Managers are fake cameras to simulate the number of cars and pedestrians on the way to a traffic light. Each traffic light has a manager who tells him the number of cars and pedestrians on his way
+Managers are fake cameras to simulate the number of cars and pedestrians on the way to a traffic light. Each traffic light has a manager who tells him the number of cars and pedestrians on his way
 Depending on the number of cars and pedestrians the traffic lights are rewarded. Each traffic light knows the status of all the other traffic lights in the cluster. If a traffic light is overbooked and causes the bottling of another traffic light, trafic lights will adapt to gain the most reward and therefore regulate the traffic
 
 You need to have Apache Kafka and Zookeper for the stream communication.