Renewable energy integration is an effective measure to resolve environmental problems
and implement sustainable development, yet the volatility of wind and solar generation has …

Existing approaches to online convex optimization make sequential one-slot-ahead
decisions, which lead to (possibly adversarial) losses that drive subsequent decision …

This paper studies the online optimal control problem with time-varying convex stage costs
for a time-invariant linear dynamical system, where a finite lookahead window of accurate …

In this paper, online convex optimization problem with time-varying constraints is studied
from the perspective of an agent taking sequential actions. Both the objective function and …

With the progress of decarbonization, renewable-powered microgrids are attracting wide
attention. To cope with the fluctuation of renewable power at different timescales, both long …

Network Function Virtualization (NFV) represents a new paradigm of network service
provisioning. NFV providers acquire cloud resources, install virtual network functions …

Motivated by the success of using black-box predictive algorithms as subroutines for online
decision-making, we develop a new framework for designing online policies given access to …

In this paper, we study the dynamic regret of online linear quadratic regulator (LQR) control
with time-varying cost functions and disturbances. We consider the case where a finite look …

Abstract We consider Online Convex Optimization (OCO) in the setting where the costs are $
m $-strongly convex and the online learner pays a switching cost for changing decisions …

We study\emph {smoothed online convex optimization}, a version of online convex
optimization where the learner incurs a penalty for changing her actions between rounds …