Publications

A Unified Decision-Theoretic Model for Information Gathering and Communication Planning

Jennifer Renoux, Tiago S. Veiga, Pedro U. Lima, and Matthijs T. J. Spaan. A Unified Decision-Theoretic Model for Information Gathering and Communication Planning. In IEEE Int. Conf. on Robot and Human Interactive Communication (RO-MAN), pp. 67–74, 2020.

Download

HTML

Abstract

We consider the problem of communication planning for human-machine cooperation in stochastic and partially observable environments. Partially Observable Markov Decision Processes with Information Rewards (POMDPs-IR) form a powerful framework for information-gathering tasks in such environments. We propose an extension of the POMDP-IR model, called a Communicating POMDP-IR (com-POMDP-IR), that allows an agent to proactively plan its communication actions by using an approximation of the human's beliefs. We experimentally demonstrate the capability of our com-POMDPIR agent to limit its communication to relevant information and its robustness to lost messages.

BibTeX Entry

@InProceedings{Renoux20,
  author =       {Jennifer Renoux and Tiago S. Veiga and Pedro U. Lima
                  and Matthijs T. J. Spaan},
  title =        {A Unified Decision-Theoretic Model for Information
                  Gathering and Communication Planning},
  booktitle =    {IEEE Int. Conf. on Robot and Human Interactive
                  Communication (RO-MAN)},
  pages =        {67--74},
  year =         2020
}

Note: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Generated by bib2html.pl (written by Patrick Riley) on Thu Feb 29, 2024 16:15:45 UTC