Getting Started with SconePy and SCONEgym - Seeking Resources

SCONE is a software tool for predictive simulations of biomechanical movement. It uses OpenSim for modeling and simulation, and performs optimization using various control strategies, including feed-forward control, proprioceptic feedback control, and bal
POST REPLY
User avatar
Ali Forouzanfar
Posts: 27
Joined: Thu Dec 15, 2022 11:21 pm

Getting Started with SconePy and SCONEgym - Seeking Resources

Post by Ali Forouzanfar » Thu Apr 04, 2024 9:36 am

Hi,

I'm interested in using SconePy and SCONEgym for reinforcement learning research in the domain of biomechanical simulation. My goal is to model realistic biological motion and train RL agents for various control tasks.

To get up and running, I'd appreciate resources on the following:

SconePy: Examples demonstrating how to use the Python API to control simulations, define actions relevant to biomechanics, and access simulation state information.

SCONEgym: Basic usage of SCONEgym environments for biomechanics, including how to set up scenarios, train basic RL agents, and visualize results.
I'm particularly interested in learning how SCONEgym was used to develop the depRL control strategy.

Any official documentation, tutorials, code examples, relevant research papers, or insights from those experienced with these tools would be fantastic.

Thank you!

User avatar
Thomas Geijtenbeek
Posts: 432
Joined: Wed Mar 12, 2014 8:08 am

Re: Getting Started with SconePy and SCONEgym - Seeking Resources

Post by Thomas Geijtenbeek » Fri Apr 05, 2024 1:22 am

Currently, the only documentation for SconePy is:

https://scone.software/doku.php?id=sconepy

https://scone.software/doku.php?id=doc:sconepy

For sconegym, there are installation instructions on the GitHub:

https://github.com/tgeijten/sconegym

POST REPLY