semvec/pypi-packages huggingface dataset:
RLPack 1.0.1
Implementation of RL Algorithms
License: MIT
Requires Python: >=3.7
Keywords: reinforcement-learning pytorch gym cpp python

# 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).