# RLPack
# Introduction
Implementation of RL Algorithms built on top of PyTorch. Heavy workloads have
been optimized with C++ backend.
# Installation
#### To install RLPack, you can simply do
```bash
python -m pip install -U pip
pip install RLPack
```
#### To build and install RLPack from source, simply clone and install as follows: <br>
```bash
python -m pip install -U pip
git clone https://github.com/kartik2309/RLPack.git
cd RLPack
pip install . --use-feature=in-tree-build
```
This will install the package in your python environment.
# Documentation
RLPack documentation was generated by Doxygen. It can be referred [here](https://kartik2309.github.io/RLPack/html/index.html)
# Issues and bugs
Please raise an issue if you encounter a bug. If you would like to fix the bug and contribute to RLPack, kindly refer
to [CONTRIBUTING.md](https://github.com/kartik2309/RLPack/blob/master/CONTRIBUTING.md)
# License
RLPack is released under [MIT LICENSE](https://github.com/kartik2309/RLPack/blob/master/LICENSE.md).
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