Optimal Solutions to Infinite-Player Stochastic Teams and Mean-Field Teams

Linear Quadratic Mean Field Teams: Optimal and Approximately Optimal Decentralized Solutions

We consider team optimal control of decentralized systems with linear dynamics, quadratic costs, and arbitrary disturbance that consist of multiple sub-populations with exchangeable agents (i.e., exchanging two agents within the same sub-population does not affect the dynamics or the cost). Such a system is equivalent to one where the dynamics and costs are coupled across agents through the mea...

Asymptotic Solutions to Weakly Coupled Stochastic Teams with Nonclassical Information

In this paper, we develop a new iterative approach toward the solution of a class of two-agent dynamic stochastic teams with nonclassical information when the coupling between the agents is weak, either through the state dynamics or through the information channel. In each case, the weak coupling is characterized in terms of a small (perturbation) parameter. When this parameter value (say, E ) ...

Mean Field Asymptotic of Markov Decision Evolutionary Games and Teams

We introduce Markov Decision Evolutionary Games with N players, in which each individual in a large population interacts with other randomly selected players. The states and actions of each player in an interaction together determine the instantaneous payoff for all involved players. They also determine the transition probabilities to move to the next state. Each individual wishes to maximize t...

Multidisciplinary Teams on the Battlefield: An Innovative Approach to Overcrowded Field Hospitals and Trauma Centers

Teams for Teams

We are developing a theory for human control of robot teams based on considering how control varies across different task allocations. Our current work focuses on domains such as foraging in which robots perform largely independent tasks. The present study addresses the interaction between automation and organization of human teams in controlling large robot teams performing an Urban Search and...