Abstract

We show that a new theory of sufficient statistics for team decision problems applies equally well to general dynamic team decision problems. In particular, we show that the sufficient statistics given in the theory are sufficient for making optimal decisions, and moreover, they can be updated with new measurements without having to scan through the old measurements. The implication is that that the process of finding, updating, and interpreting the sufficient statistics for decentralized control problems can be done relatively easily using the tools of the new theory, without resorting to complicated probabilistic or algebraic arguments.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.