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elastica-rl

The aim of this project is to use reinforcement learning algorithms in order to investigate mechanics of soft filament applications. The project makes use of the PyElastica library developed by the Gazzola Lab (http://mattia-lab.com/) at the University of Illinois at Urbana-Champaign. Documentation of PyElastica is available at docs.cosseratrods.org.

Installation

PyPI version

PyElastica is compatible with Python 3.5 - 3.8. The easiest way to install PyElastica is with PIP.

$ pip install pyelastica 

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