Update README.md

README.md

@@ -24,7 +24,7 @@ This is a trained model of **DQN** agent that plays **PongNoFrameskip-v4**
 Pong is a Atari 2600 game imported from Gym environment.
 Agent is implemented from Deep Reinforcement Learning by Max Lapan.
 The code is present in the github link: 
-https://github.com/mohit-ix/DeepRL/tree/main/Unit%206
+[https://github.com/mohit-ix/DeepRL/tree/main/Unit%206]
 The performance of agent at different steps is present here: [https://youtu.be/03Pl5Odc2jM]
 
 To use the agent use "03_dqn_play.py" from the github link and type:
@@ -33,5 +33,5 @@ python 03_dqn_play.py -m [model_name] -r [recording_location] --no-vis
 
 ```
 
-add "-r [recoding_location]" if you want to save the recording
-remove "--no-vis" if you want to render the gamplay by the agent.
+Add "-r [recoding_location]" if you want to save the recording.
+Remove "--no-vis" if you want to render the gamplay by the agent.