Machine Learning Nano Degree Capstone Project: Deep Reinforcement Learning to train an agent to play Atari Pong game using DQN
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| Random model | DQN 5260000 steps | DQN 8090000 steps | DQN 9500000 steps |
I have obtained the starter code from CS 294: Deep Reinforcement Learning, Spring 2017
https://github.com/berkeleydeeprlcourse/homework/tree/master/sp17_hw/hw3
Make sure to install Tensorflow, OpenAI Gym, numpy, pandas and bokeh before running these scripts.
Run the training using the following command
python run_dqn_atari.py >> train_logs_new.log
There is a jupyter notebook, named DQN report.ipynb, which has all the code for plotting the stats presented in the report. The file named DQN_report.html is the html snapshot of the jupyter notebook. The file named record.pdf has the complete report of the project.