Update README.md

README.md

@@ -17,4 +17,20 @@ model-index:
             value: '19'
             name: mean_reward
             verified: false
----
+---
+
+# **DQN** Agent Playing **Pong**
+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]
+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:
+```python
+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.