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 03_dqn_play.py -m [model_name] -r [recording_location] --no-vis

Add "-r [recoding_location]" if you want to save the recording and remove "--no-vis" if you want to render the gamplay by the agent.