Please use this identifier to cite or link to this item:
Title: Graphical models for online solutions to interactive POMDPs
Authors: Doshi, P.
Zeng, Y.
Chen, Q. 
Keywords: Agent modeling
Dynamic influence diagrams
Issue Date: 2007
Citation: Doshi, P.,Zeng, Y.,Chen, Q. (2007). Graphical models for online solutions to interactive POMDPs. Proceedings of the International Conference on Autonomous Agents : 814-821. ScholarBank@NUS Repository.
Abstract: We develop a new graphical representation for interactive partially observable Markov decision processes (I-POMDPs) that is significantly more transparent and semantically clear than the previous representation. These graphical models called interactive dynamic influence diagrams (I-DIDs) seek to explicitly model the structure that is often present in real-world problems by decomposing the situation into chance and decision variables, and the dependencies between the variables. I-DIDs generalize DIDs, which may be viewed as graphical representations of POMDPs, to multiagent settings in the same way that I-POMDPs generalize POMDPs. I-DIDs may be used to compute the policy of an agent online as the agent acts and observes in a setting that is populated by other interacting agents. Using several examples, we show how I-DIDs may be applied and demonstrate their usefulness. © 2007 IFAAMAS.
Source Title: Proceedings of the International Conference on Autonomous Agents
ISBN: 9788190426275
DOI: 10.1145/1329125.1329387
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Apr 21, 2019

Page view(s)

checked on Apr 19, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.