Sufficient conditions for the existence and uniqueness of smooth optimal decision strategies for static team optimization problems with statistical information structure are derived. Approximation methods and algorithms to derive suboptimal solutions based on the obtained results are investigated. The application to network team optimization problems is discussed
In this paper, we extend the notion of person by person optimization to binary decision spaces. The ...
This dissertation draws on diverse branches of team theory literature in order to identify various a...
We consider a network of a number of best-eort type sources, viewed as decision makers (DM's) o...
Sufficient conditions for the existence and Lipschitz continuity of optimal strategies for static te...
Sufficient conditions for the existence and Lipschitz continuity of optimal strategies for static t...
Sufficient conditions for the existence and Lipschitz continuity of optimal strategies for static t...
Smoothness of the solutions to network team optimization problems with statistical information struc...
Network team optimization problems with statistical information structure are investigated. A team o...
Network team optimization problems with statistical information structure are investigated. A team o...
Smoothness of the solutions to network team optimization problems with statistical information struc...
Existence, uniqueness, and approximations of smooth solutions to team optimization problems with sto...
Abstract. Existence, uniqueness, and approximations of smooth solutions to team optimization problem...
Abstract. In this paper, we identify sufficient conditions under which static teams and a class of s...
This thesis considers static and dynamic team decision problems in both stochastic and deterministic...
In this paper, we extend the notion of person-by-person (pbp) optimization to binary decision spaces...
In this paper, we extend the notion of person by person optimization to binary decision spaces. The ...
This dissertation draws on diverse branches of team theory literature in order to identify various a...
We consider a network of a number of best-eort type sources, viewed as decision makers (DM's) o...
Sufficient conditions for the existence and Lipschitz continuity of optimal strategies for static te...
Sufficient conditions for the existence and Lipschitz continuity of optimal strategies for static t...
Sufficient conditions for the existence and Lipschitz continuity of optimal strategies for static t...
Smoothness of the solutions to network team optimization problems with statistical information struc...
Network team optimization problems with statistical information structure are investigated. A team o...
Network team optimization problems with statistical information structure are investigated. A team o...
Smoothness of the solutions to network team optimization problems with statistical information struc...
Existence, uniqueness, and approximations of smooth solutions to team optimization problems with sto...
Abstract. Existence, uniqueness, and approximations of smooth solutions to team optimization problem...
Abstract. In this paper, we identify sufficient conditions under which static teams and a class of s...
This thesis considers static and dynamic team decision problems in both stochastic and deterministic...
In this paper, we extend the notion of person-by-person (pbp) optimization to binary decision spaces...
In this paper, we extend the notion of person by person optimization to binary decision spaces. The ...
This dissertation draws on diverse branches of team theory literature in order to identify various a...
We consider a network of a number of best-eort type sources, viewed as decision makers (DM's) o...