Plan quality optimisation via block decomposition
AI planners have to compromise between the speed of the planning process and the quality of the generated plan. Anytime planners try to balance these objectives by finding plans of better quality over time, but current anytime planners often do not make e
|Collections||ANU Research Publications|
|Source:||IJCAI International Joint Conference on Artificial Intelligence|
|01_Siddiqui_Plan_quality_optimisation_via_2013.pdf||662.73 kB||Adobe PDF|
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