Learning Latent Dynamics for Partially-Observed Chaotic Systems
Sign Up to like & getrecommendations! Published in 2020 at "Chaos"
DOI: 10.1063/5.0019309
Abstract: This paper addresses the data-driven identification of latent representations of partially observed dynamical systems, i.e., dynamical systems for which some components are never observed, with an emphasis on forecasting applications and long-term asymptotic patterns. Whereas… read more here.
Keywords: dynamics partially; data driven; partially observed; learning latent ... See more keywords
Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3146917
Abstract: In this paper, we consider vision-based control tasks of which the desired goals are given as target images. The problems are often addressed by an autonomous agent which optimizes a trajectory to minimize a manually… read more here.
Keywords: metric learning; learning latent; embedding metric; metric embedding ... See more keywords