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@@ -77,6 +77,9 @@ The following examples are coming from [TFLearn](https://github.com/tflearn/tfle
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- [City Name Generation](https://github.com/tflearn/tflearn/blob/master/examples/nlp/lstm_generator_cityname.py). Generates new US-cities name, using LSTM network.
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- [Shakespeare Scripts Generation](https://github.com/tflearn/tflearn/blob/master/examples/nlp/lstm_generator_shakespeare.py). Generates new Shakespeare scripts, using LSTM network.
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+## Reinforcement Learning
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+- [Atari Pong 1-step Q-Learning](https://github.com/tflearn/tflearn/blob/master/examples/reinforcement_learning/pong_1step_qlearning.py). Teach a machine to play Atari Pong game using 1-step Q-learning.
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## Notebooks
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- [Spiral Classification Problem](https://github.com/tflearn/tflearn/blob/master/examples/notebooks/spiral.ipynb). TFLearn implementation of spiral classification problem from Stanford CS231n.
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