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## Reinforcement Learning
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- Policy Gradient / Network - Pong Game. Teach a machine to play Pong games, see ``tutorial_atari_pong.py``.
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- Q-Network - Frozen lake, see ``tutorial_frozenlake_q_network.py``.
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- Q-Table learning algorithm, see ``tutorial_frozenlake_q_table.py``.
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- Q-Table learning algorithm - Frozen lake, see ``tutorial_frozenlake_q_table.py``.
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- Asynchronous Deep Reinforcement Learning - Pong Game by [nebulaV](https://github.com/akaraspt/tl_paper).
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* TensorLayer provides two set of Convolutional layer APIs, see [(Professional)](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#convolutional-layer-pro) and [(Simplified)](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#convolutional-layer-simplified) on readthedocs website.
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* If you get into trouble, you can start a discussion on [Slack](https://join.slack.com/t/tensorlayer/shared_invite/MjExMjMzODAwNjI0LTE0OTk4ODEzMjUtNmVjNjQ4ZjMzMw), [Gitter](https://gitter.im/tensorlayer/Lobby#?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge>),
[QQ group](https://github.com/zsdonghao/tensorlayer/blob/master/img/img_qq.png) and [Wechat group](https://github.com/shorxp/tensorlayer-chinese/blob/master/docs/TensorLayer交流群介绍.md).
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[QQ group](https://github.com/zsdonghao/tensorlayer/blob/master/img/img_qq.png) and [Wechat group](https://github.com/shorxp/tensorlayer-chinese/blob/master/docs/wechat_group.md).
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# License
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- 🇬🇧 If you are in London, we can discuss in person. Drop us an email to organize a meetup: [email protected].
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