5 citations · 14 across the 11 of their papers we have counts for
4 papers · 1 filter
Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter
Amirhossein Taghvaei, Prashant G. Mehta
Feedback particle filter (FPF) is a Monte-Carlo (MC) algorithm to approximate the solution of a stochastic filtering problem. In contrast to conventional particle filters, the Baye…
An Optimal Transport Formulation of the Ensemble Kalman Filter
Amirhossein Taghvaei, Prashant G. Mehta
Controlled interacting particle systems such as the ensemble Kalman filter (EnKF) and the feedback particle filter (FPF) are numerical algorithms to approximate the solution of the…
Bio-inspired Learning of Sensorimotor Control for Locomotion
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
This paper presents a bio-inspired central pattern generator (CPG)-type architecture for learning optimal maneuvering control of periodic locomotory gaits. The architecture is pres…
Q-learning for POMDP: An application to learning locomotion gaits
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
This paper presents a Q-learning framework for learning optimal locomotion gaits in robotic systems modeled as coupled rigid bodies. Inspired by prevalence of periodic gaits in bio…