Prioritized Experience Replay in C with Python bindings
Project description
PERCy
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.
Features
- Python bindings for the PER-C library.
- Easy integration with Python-based reinforcement learning workflows.
- Includes examples and tests for quick setup and usage.
Repository
For the original C implementation, visit the PER-C repository.
Getting Started
Experimental pip installation.
pip3 install -i https://test.pypi.org/simple/ percy-rl
or 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
Project details
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