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Title: Graphical models for online solutions to interactive POMDPs
Authors: Doshi, P.
Zeng, Y.
Chen, Q. 
Issue Date: 2007
Citation: 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 ( All rights reserved.
Source Title: AAAI Spring Symposium - Technical Report
ISBN: 9781577353119
Appears in Collections:Staff Publications

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