11 citations · 14 across the 4 of their papers we have counts for
4 papers
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
Zichen Zhang, Johannes Kirschner, Junxi Zhang +4
A default assumption in reinforcement learning (RL) and optimal control is that observations arrive at discrete time points on a fixed clock cycle. Yet, many applications involve c…
To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing
Luca Ballotta, Giovanni Peserico, Francesco Zanini +1
We consider a network of smart sensors for an edge computing application that sample a time-varying signal and send updates to a base station for remote global monitoring. Sensors…
A Reinforcement Learning Approach to Sensing Design in Resource-Constrained Wireless Networked Control Systems
Luca Ballotta, Giovanni Peserico, Francesco Zanini
In this paper, we consider a wireless network of smart sensors (agents) that monitor a dynamical process and send measurements to a base station that performs global monitoring and…
Estimating Koopman operators for nonlinear dynamical systems: a nonparametric approach
Francesco Zanini, Alessandro Chiuso
The Koopman operator is a mathematical tool that allows for a linear description of non-linear systems, but working in infinite dimensional spaces. Dynamic Mode Decomposition and E…