learning/annotated_deep_learning_paper_implementations
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Varuna Jayasiri
2020-10-23 07:30:59 +05:30
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labml_nn/__init__.py
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#### ✨ [Sketch RNN](http://lab-ml.com/labml_nn/sketch_rnn/)
#### ✨ [Reinforcement Learning](http://lab-ml.com/labml_nn/rl/)
* [Proximal Policy Optimization](http://lab-ml.com/labml_nn/rl/ppo/)
* [Proximal Policy Optimization](http://lab-ml.com/labml_nn/rl/ppo/) with
[Generalized Advantage Estimation](http://lab-ml.com/labml_nn/rl/ppo/gae.html)
### Installation

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readme.md
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#### ✨ [Sketch RNN](http://lab-ml.com/labml_nn/sketch_rnn/)
#### ✨ [Reinforcement Learning](http://lab-ml.com/labml_nn/rl/)
* [Proximal Policy Optimization](http://lab-ml.com/labml_nn/rl/ppo/)
* [Proximal Policy Optimization](http://lab-ml.com/labml_nn/rl/ppo/) with
[Generalized Advantage Estimation](http://lab-ml.com/labml_nn/rl/ppo/gae.html)
### Installation