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Update README with a more generic folder example
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lopespm committed Oct 6, 2016
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Through [Deep Reinforcement Learning](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf), this agent can autonomously train itself to play [Out Run](https://en.wikipedia.org/wiki/Out_Run) and potentially be modified to play other games or perform tasks other than gaming.

More details about the training process [in this blogpost](http://lopespm.github.io/machine_learning/2016/10/05/deep-reinforcement-learning-racing-game.html).
More details about the training process [in this blogpost](http://lopespm.github.io/machine_learning/2016/10/06/deep-reinforcement-learning-racing-game.html).

Built with Python and Tensorflow.

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For finer control, you can run the library module as a script. For example:

```bash
python -m agent train-resume --ec2spot --resultspath /Users/pedro/alternative-results-folder -s 201609261533
python -m agent play --ec2spot --resultspath /example/alternative-results-folder -s 201609261533
```

Actions: `train-new`, `train-resume`, `play`, `visualize-tsne`, `metrics-show` or `metrics-export`
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