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Graphical models for interactive POMDPs: representations and solutions
2008
Autonomous Agents and Multi-Agent Systems
We develop new graphical representations for the problem of sequential decision making in partially observable multiagent environments, as formalized by interactive partially observable Markov decision processes (I-POMDPs). The graphical models called interactive inf uence diagrams (I-IDs) and their dynamic counterparts, interactive dynamic inf uence diagrams (I-DIDs), seek to explicitly model the structure that is often present in real-world problems by decomposing the situation into chance
doi:10.1007/s10458-008-9064-7
fatcat:s4cysjljpfbs7fqeuh5luci4km