Towards a theory of random walk planning: Regress factors, fair homogeneous graphs and extensions

AI COMMUNICATIONS, pp. 329-344, 2014.

Cited by: 2|Views2


Random walks are a relatively new component used in several state of the art satisficing planners. Empirical results have been mixed: while the approach clearly outperforms more systematic search methods such as weighted A* on many planning domains, it fails in many others. So far, the explanations for these empirical results have been so...More



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