Game theory is the study of decision problems in which there are multiple decision makers
and the quality of a decision maker's choice depends on both that choice and the choices of …

Ensuring ultrareliable and low-latency communication (URLLC) for 5G wireless networks
and beyond is of capital importance and is currently receiving tremendous attention in …

A high school student can create deep Q-learning code to control her robot, without any
understanding of the meaning of'deep'or'Q', or why the code sometimes fails. This book is …

In this paper we formulate the now classical problem of optimal liquidation (or optimal
trading) inside a mean field game (MFG). This is a noticeable change since usually …

In this paper, a novel approach for joint power control and user scheduling is proposed for
optimizing energy efficiency (EE), in terms of bits per unit energy, in ultra dense small cell …

We present a survey on the application of fluid approximations, in the form of mean-field
models, to the design of control strategies in swarm robotics. Mean-field models that consist …

Very large networks linking dynamical agents are now ubiquitous and the need to analyse,
design and control them is evident. The emergence of the graphon theory of large networks …

A simple model of corruption that takes into account the effect of the interaction of a large
number of agents by both rational decision making and myopic behavior is developed. Its …

In this paper, the intelligent design for the pursuit-evasion game with large scale multi-
pursuer and multi-evader has been investigated. Due to the vast number of agents, the …

This paper presents a general mean-field game (GMFG) framework for simultaneous
learning and decision making in stochastic games with a large population. It first establishes …