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Advanced Path Planning for Mobile Entities
Learning navigation policies in an unstructured terrain is a complex task. The Learning to Search (LEARCH) algorithm constructs cost functions that map environmental features to a certain cost for traversing a patch of terrain. These features are abstractions of the environment, in which trees, vegetation, slopes, water and rocks can be found, and the traversal costs are scalar values that represent the difficulty for a robot to cross given the patches of terrain. However, LEARCH tends todoi:10.5772/intechopen.71486 fatcat:x5qyotcc5bbgll3xxedyuy7paa