I've seen a number of talks of online learning of dynamics (i.e. observe a lorenz attractor, do online learning of weights, and result in a system that produces the lorenz dynamics). For example:
https://arxiv.org/abs/1902.02875
I know @arvoelke and @celiasmith have implemented this in nengo, but I don't think we've done a broad set of examples showing this. There is an example of FORCE learning here: https://github.com/arvoelke/nengolib/blob/master/docs/notebooks/examples/full_force_learning.ipynb
There's also this sort of work where dynamics learning is used to learn the forward dynamics of a physical system:
https://elifesciences.org/articles/28295
and the inverse model:
http://proceedings.mlr.press/v80/gilra18a.html
I've seen a number of talks of online learning of dynamics (i.e. observe a lorenz attractor, do online learning of weights, and result in a system that produces the lorenz dynamics). For example:
https://arxiv.org/abs/1902.02875
I know @arvoelke and @celiasmith have implemented this in nengo, but I don't think we've done a broad set of examples showing this. There is an example of FORCE learning here: https://github.com/arvoelke/nengolib/blob/master/docs/notebooks/examples/full_force_learning.ipynb
There's also this sort of work where dynamics learning is used to learn the forward dynamics of a physical system:
https://elifesciences.org/articles/28295
and the inverse model:
http://proceedings.mlr.press/v80/gilra18a.html