title: Useful resources

Note that it will take a while to train this model. You can find many tutorials, frameworks and lessons on-line. We particularly recommend:

Tutorials & Courses on Reinforcement Learning:
* Berkeley Deep RL course by Sergey Levine
* Intro to RL on Karpathy's blog
* Intro to RL by Tambet Matiisen
* Deep RL course of David Silver
* A comprehensive list of deep RL resources

Frameworks and implementations of algorithms:
* RLLAB
* modular_rl
* keras-rl

OpenSim and Biomechanics:
* OpenSim Documentation
* Muscle models
* Publication describing OpenSim
* Publication describing Simbody (multibody dynamics engine)

This list is by no means exhaustive. If you find some resources particularly well-fit for this tutorial, please let us know!