7 citations · 14 across the 6 of their papers we have counts for
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cs.LG2018
KONG: Kernels for ordered-neighborhood graphs
Moez Draief, Konstantin Kutzkov, Kevin Scaman +1
We present novel graph kernels for graphs with node and edge labels that have ordered neighborhoods, i.e. when neighbor nodes follow an order. Graphs with ordered neighborhoods are…
cs.LG2018
Reinforcement Learning with Wasserstein Distance Regularisation, with Applications to Multipolicy Learning
Mohammed Amin Abdullah, Aldo Pacchiano, Moez Draief
We describe an application of Wasserstein distance to Reinforcement Learning. The Wasserstein distance in question is between the distribution of mappings of trajectories of a poli…