OnEfficiencyinHierarchicalReinforcement Learning

Neural Information Processing Systems 

While this has been demonstrated empirically overtimeinavarietyoftasks,theoretical resultsquantifying thebenefits of such methods are still few and far between. In this paper, we discuss the kind of structure in a Markov decision process which gives rise to efficient HRLmethods.

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