Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41012
Title: Graphical models for online solutions to interactive POMDPs
Authors: Doshi, P.
Zeng, Y.
Chen, Q. 
Issue Date: 2007
Source: Doshi, P.,Zeng, Y.,Chen, Q. (2007). Graphical models for online solutions to interactive POMDPs. AAAI Spring Symposium - Technical Report SS-07-02 : 8-16. 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. Copyright © 2007, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.
Source Title: AAAI Spring Symposium - Technical Report
URI: http://scholarbank.nus.edu.sg/handle/10635/41012
ISBN: 9781577353119
Appears in Collections:Staff Publications

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

Page view(s)

50
checked on Dec 9, 2017

Google ScholarTM

Check


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