Automated dynamic planning and execution for a partially observable game model: Tsunami City search and rescue

This paper addresses the problem of autonomous dynamic planning and execution (ADP&E) for partially observable model environments. There are three accomplishments illustrated in this paper: (1) develop an ADP&E implementation framework for planning and executing in partially observable model environments, (2) design and implement a methodology for adapting planner parameters to improve the overall planning process, and (3) demonstrate the utility of the planning process on a large complex application (i.e., city search and rescue operations).