At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

Our goal in writing this book has been to provide a comprehensive, mathematically rigorous,
but still accessible treatment of the interaction between information and control in multi …

A general model of decentralized stochastic control called partial history sharing information
structure is presented. In this model, at each step the controllers share part of their …

We propose a theoretical framework for approximate planning and learning in partially
observed systems. Our framework is based on the fundamental notion of information state …

At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

This tutorial paper provides a comprehensive characterization of information structures in
team decision problems and their impact on the tractability of team optimization. Solution …

In this article, we consider sequential dynamic team decision problems with nonclassical
information structures. First, we address the problem from the point of view of a “manager” …

In this paper, we investigate learning temporal abstractions in cooperative multi-agent
systems, using the options framework (Sutton et al, 1999). First, we address the planning …

This paper studies networked control systems closed over noiseless digital channels. We
focus on noisy linear time-invariant (LTI) plants with stationary Gaussian disturbances …

We analyze a class of stochastic dynamic games among teams with asymmetric information,
where members of a team share their observations internally with a delay of d. Each team is …