Zusammenfassung
his work introduces SwarmRL, a Python package designed to study intelligent active particles.
SwarmRL provides an easy-to-use interface for developing models to control microscopic colloids
using classical control and deep reinforcement learning approaches. These models may be deployed
in simulations or real-world environments under a common framework. We explain the structure
of the software and its key features and demonstrate how it can be used to accelerate research.
With SwarmRL, we aim to streamline research into micro-robotic control while bridging the gap
between experimental and simulation-driven sciences. SwarmRL is available open-source on GitHub
at https://github.com/SwarmRL/SwarmRL.
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