With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Buildings account for about 40% of the global energy consumption. Renewable energy
resources are one possibility to mitigate the dependence of residential buildings on the …

In this paper we provide new randomized algorithms with improved runtimes for solving
linear programs with two-sided constraints. In the special case of the minimum cost flow …

Network function virtualization foresees the virtualization of service functions and their
execution on virtual machines. Any service is represented by a service function chain (SFC) …

In this paper we consider the problem of computing an $\epsilon $-optimal policy of a
discounted Markov Decision Process (DMDP) provided we can only access its transition …

In recent years, the interest in leveraging quantum effects for enhancing machine learning
tasks has significantly increased. Many algorithms speeding up supervised and …

The effective operation of time-critical Internet of things (IoT) applications requires real-time
reporting of fresh status information of underlying physical processes. In this paper, a real …

The significantly expanded and updated new edition of a widely used text on reinforcement
learning, one of the most active research areas in artificial intelligence. Reinforcement …

This paper surveys the field of reinforcement learning from a computer-science perspective.
It is written to be accessible to researchers familiar with machine learning. Both the historical …

Computation offloading from a mobile device to the edge server is an emerging paradigm to
reduce completion latency of intensive computations in mobile-edge computing (MEC). In …