We present a new subgoal-based method for automatically creating useful skills in reinforcement learning. Our method identifies subgoals by partitioning local state transition gra...
A promising approach to graph clustering is based on the intuitive notion of intra-cluster density vs. inter-cluster sparsity. While both formalizations and algorithms focusing on ...
Abstract. The divisive MinMaxCut algorithm of Ding et al. [3] produces more accurate clustering results than existing document cluster methods. Multilevel algorithms [4, 1, 5, 7] h...
Multiple memory module architecture enjoys higher memory access bandwidth and thus higher performance. Two key problems in gaining high performance in this kind of architecture ar...
ct We introduce a new family of spectral partitioning methods. Edge separators of a graph are produced by iteratively reweighting the edges until the graph disconnects into the pre...