This book presents an overview of formal decision making methods for decentralized
cooperative systems. It is aimed at graduate students and researchers in the fields of …

This paper examines the problem of locating a mobile, non-adversarial target in an indoor
environment using multiple robotic searchers. One way to formulate this problem is to …

This paper systematically investigates the novel idea of applying the next generation
wireless technology, cognitive radio network, for the smart grid. In particular, system …

Inverse reinforcement learning (IRL) is the problem of recovering the underlying reward
function from the behavior of an expert. Most of the existing IRL algorithms assume that the …

Decentralized partially observable Markov decision processes (Dec-POMDPs) provide a
general model for decision-making under uncertainty in decentralized settings, but are …

In many practical applications of RL, it is expensive to observe state transitions from the
environment. For example, in the problem of plasma control for nuclear fusion, computing …

Scheduling of inspection and maintenance policies during the life-cycle of operating
infrastructure necessitates optimization of long-term objectives in stochastic environments …

Há situações em que decisões devem ser tomadas em seqüência, e o resultado de cada
decisão não é claro para o tomador de decisões. Estas situações podem ser formuladas …

Robotic science missions in remote environments, such as deep ocean and outer space,
can involve studying phenomena that cannot directly be observed using on-board sensors …

The author presents a unified treatment of this highly interdisciplinary topic to help define the
notion of cognitive radio. The book begins with addressing issues such as the fundamental …