RLPack
Introduction
Implementation of RL Algorithms built on top of PyTorch. Heavy workloads have been optimized with C++ backend with CUDA and OpenMP (depending on the hardware availability).
Installation
To install RLPack, you can simply do
python -m pip install -U pip
pip install RLPack
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
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
License
RLPack is released under MIT LICENSE.