6 citations · 9 across the 10 of their papers we have counts for
7 papers · 1 filter
Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control
Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta
This paper is concerned with the error analysis of two types of sampling algorithms, namely model predictive path integral (MPPI) and an interacting particle system (\IPS) algorith…
Interacting Particle Systems for Fast Linear Quadratic RL
Anant A Joshi, Heng-Sheng Chang, Amirhossein Taghvaei +2
This paper is concerned with the design of algorithms based on systems of interacting particles to represent, approximate, and learn the optimal control law for reinforcement learn…
Dual Ensemble Kalman Filter for Stochastic Optimal Control
Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta +1
In this paper, stochastic optimal control problems in continuous time and space are considered. In recent years, such problems have received renewed attention from the lens of rein…
Controlled Interacting Particle Algorithms for Simulation-based Reinforcement Learning
Anant Joshi, Amirhossein Taghvaei, Prashant G. Mehta +1
This paper is concerned with optimal control problems for control systems in continuous time, and interacting particle system methods designed to construct approximate control solu…
Modification of Hilbert's Space-Filling Curve to Avoid Obstacles: A Robotic Path-Planning Strategy
Anant A. Joshi, Maulik C. Bhatt, Arpita Sinha
This paper addresses the problem of exploring a region using the Hilbert's space-filling curve in the presence of obstacles. No prior knowledge of the region being explored is assu…
Uncertainty Quantification And Analysis Of Dynamical Systems With Invariants
Anant A. Joshi, Kamesh Subbarao
This paper considers uncertainty quantification in systems perturbed by stochastic disturbances, in particular, Gaussian white noise. The main focus of this work is on describing t…
A bundle framework for observer design on smooth manifolds with symmetry
Anant A. Joshi, D. H. S. Maithripala, Ravi N. Banavar
The article presents a bundle framework for nonlinear observer design on a manifold with a Lie group action. The group action on the manifold decomposes the manifold to a quotient…