Deep Q-Learning based Agent for Atari Breakout
The agent showcased in this space is trained using the Deep Q-Learning algorithm. The agent was trained for $$3500$$ episodes with a learning rate of $$0.00001$$ and an epsilon value that decreased linearly over time.
Usage
python main.py --model_folder <Name of the folder> --model_name <Name of the model> --save_video 1 --video_name <Name of the video file>
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