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|Title:||Graphical models for online solutions to interactive POMDPs||Authors:||Doshi, P.
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. https://doi.org/10.1145/1329125.1329387||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||URI:||http://scholarbank.nus.edu.sg/handle/10635/40688||ISBN:||9788190426275||DOI:||10.1145/1329125.1329387|
|Appears in Collections:||Staff Publications|
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