This work studies efficient centralized solution methods for cluster-based control policies of
transition-independent Markov decision processes (TI-MDPs). We focus on control of multi …

This work considers multi-agent systems where agents' decisions are influenced by a global
entity, named the superplayer. The superplayer's goal is to influence the agents to realize …

This work studies efficient solution methods for cluster-based control policies of transition-
independent Markov decision processes (TI-MDPs). We focus on control of multi-agent …

We present the FlipDyn, a dynamic game in which two opponents (a defender and an
adversary) choose strategies to optimally takeover a resource that involves a dynamical …

We consider cluster-based control of agents mod-eled as a transition-independent Markov
decision process (MDP), and the objective of assigning agents to clusters to maximize the …

In an era where intricate cyber and physical systems are integrated into daily life, the
imperative for controlling and optimizing them emerges as a critical avenue. This avenue …

Many natural and engineered systems are the result of strategic, interacting agents making
decisions within physical or digital environments. To understand how the group behavior …

Studying the decision-making of agents can reveal group behavior and internal lines of
influence. We work with systems of interacting agents, where the decision-making of each …