Generalizing to New Physical Systems via Context-Informed Dynamics Model. (arXiv:2202.01889v3 [cs.LG] UPDATED)

Data-driven approaches to modeling physical systems fail to generalize to
unseen systems that share the same general dynamics with the learning domain,
but correspond to different physical contexts. We propose a new framework for
this key problem, context-informed dynamics adaptation (CoDA), which takes into
account the distributional shift across systems for fast and efficient
adaptation to new dynamics. CoDA leverages multiple environments, each
associated to a different dynamic, and learns to condition the dynamics model
on contextual parameters, specific to …

arxiv context dynamics lg systems