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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!

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