An axiomatic approach for simplication of sequential teams
Aditya Mahajan, Sekhar Tatikonda · 2011
An axiomatic framework that identies irrelevant data at agents of a sequential team is presented. This framework relies on capturing the properties of a sequential team that do not depend on the specics of state spaces, the probability law, and the cost functions. To capture these properties the notion of a team form is developed. A team form is then modeled as a directed acyclic graph and irrelevant data is identied using D-separation properties of specic subsets of nodes in the graph. This framework provides an algorithmic procedure for identifying and ignoring irrelevant data at agents, and thereby simplifying the form of control laws that need to be implemented.