PER-Cy: Prioritized Experience Replay Buffer ported to Python.
This project is inspired by and ported from the original PER-C repository. The original implementation is written in C, and this Python version aims to provide similar functionality with Python bindings.
- Python bindings for the PER-C library.
- Easy integration with Python-based reinforcement learning workflows.
- Includes examples and tests for quick setup and usage.
For the original C implementation, visit the PER-C repository.
Experimental pip installation.
python3 -m pip install percy-rlor if you want to install from source:
-
Clone this repository:
git clone https://github.com/your-username/PERCy.git cd PERCy -
Set up a virtual environment
python3 -m venv percy_env source percy_env/bin/activate -
Install it locally
pip install -e . -
Run basic example
python3 examples/examples_basic.py