Interactive POMDPs: Properties and Preliminary Results

This paper presents properties and results of a new framework for sequential decision-making in multiagent settings called interactive partially observable Markov decision processes (I-POMDPs). I-POMDPs are generalizations of POMDPs, a well-known framework for decisiontheoretic planning in uncertain domains, to cases when an agent needs to plan a course of action in an environment populated by other agents.

• Type: Conference
• Year: 2004
• Where: ATAL
• Authors: Piotr J. Gmytrasiewicz, Prashant Doshi
• Keywords: ATAL 2004, Observable Markov Decision, Paper Presents Properties, Sequential Decision-making