most citedA Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning

7 citations · 10 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2019★ 7 cited

A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning

Hossein K. Mousavi, Guangyi Liu, Weihang Yuan +3

We propose a planning and perception mechanism for a robot (agent), that can only observe the underlying environment partially, in order to solve an image classification problem. A…

eess.SY2019

Explicit Characterization of Performance of a Class of Networked Linear Control Systems

Hossein K. Mousavi, Nader Motee

We show that the steady-state variance as a performance measure for a class of networked linear control systems is expressible as the summation of a rational function over the Lapl…

cs.LG2019

Multi-Agent Image Classification via Reinforcement Learning

Hossein K. Mousavi, Mohammadreza Nazari, Martin Takáč +1

We investigate a classification problem using multiple mobile agents capable of collecting (partial) pose-dependent observations of an unknown environment. The objective is to clas…

cs.RO2019★ 2 cited

Estimation with Fast Landmark Selection in Robot Visual Navigation

Hossein K. Mousavi, Nader Motee

We consider the visual feature selection to improve the estimation quality required for the accurate navigation of a robot. We build upon a key property that asserts: contributions…

eess.SY2018★ 1 cited

Sparse Sensing, Communication, and Actuation via Self-Triggered Control Algorithms

MirSaleh Bahavarnia, Hossein K. Mousavi, Nader Motee

We propose a self-triggered control algorithm to reduce onboard processor usage, communication bandwidth, and energy consumption across a linear time-invariant networked control sy…

eess.SY2018

Space-Time Sampling for Network Observability

Hossein K. Mousavi, Qiyu Sun, Nader Motee

Designing sparse sampling strategies is one of the important components in having resilient estimation and control in networked systems as they make network design problems more co…

eess.SY2018

Resilient Sparse Controller Design with Guaranteed Disturbance Attenuation

MirSaleh Bahavarnia, Hossein K. Mousavi

We design resilient sparse state-feedback controllers for a linear time-invariant (LTI) control system while attaining a pre-specified guarantee on performan…

eess.SY2018

Koopman Performance Analysis of Nonlinear Consensus Networks

Hossein K. Mousavi, Christoforos Somarakis, Qiyu Sun +1

Spectral decomposition of dynamical systems is a popular methodology to investigate the fundamental qualitative and quantitative properties of these systems and their solutions. In…