The Robotics Institute

Carnegie Mellon Robotics Institute

In recent years, multi-agent Partially Observable Markov Decision Processes (POMDP) have emerged as a popular decision-theoretic framework for modeling and generating policies for the control of multi-agent teams. Teams controlled by multi-agent POMDPs can use communication to share observations and coordinate. Therefore, policies are needed to enable these teams to reason about communication. Previous work on generating communication policies for multi-agent POMDPs has focused on the question of when to communicate. In this paper, we address the question of what to communicate. We describe two paradigms for representing limitations on communication and present an algorithm that enables multi-agent teams to make execution-time decisions on how to effectively utilize available communication resources.

Notes

Associated Lab(s) / Group(s): Reliable Autonomous Systems Lab and MultiRobot Lab

Text Reference

Maayan Roth, Reid Simmons, and Manuela Veloso, "What to Communicate? Execution-time Decision in Multi-agent POMDPs," The 8th International Symposium on Distributed Autonomous Robotic Systems (DARS), 2006.

BibTeX Reference

@inproceedings{Roth_2006_5526,
   author = "Maayan Roth and Reid Simmons and Manuela Veloso",
   title = "What to Communicate? Execution-time Decision in Multi-agent POMDPs",
   booktitle = "The 8th International Symposium on Distributed Autonomous Robotic Systems (DARS)",
   year = "2006",
}

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