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README.md

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Tensor utilities, reinforcement learning, and more! Designed to make research easier with low-level abstractions for common operations.
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### Examples
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- [Eager Proximal Policy Optimization](https://github.com/fomorians/ppo)
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## Usage
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For the top-level utilities, import like so:
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In general the API tries to adhere to TensorFlow 2.0's API.
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### Examples
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- [Eager Proximal Policy Optimization](https://github.com/fomorians/ppo)
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## API
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### Initializers ([`pynr.initializers`](pyoneer/initializers))
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- `pynr.initializers.SoftplusInverse`

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