SwarmRL is a Python package aimed at providing a simple and flexible framework for developing and testing reinforcement learning and mathematical optimization algorithms for multi-agent systems. Some key features of SwarmRL include:
- Integration with EspressoMD simulation engine
- Support for experimental setups
- Actor critic reinforcement learning strategies
Currently SwamrRL is only available from source so it must be installed within the local directory.
git clone https://github.com/SwarmRL/SwarmRL.git
cd SwarmRL
pip install .We are working on up-to-date documentation and examples and they will be made available in the coming weeks.