404 citations · 828 across the 20 of their papers we have counts for
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cs.LG2021★ 113 cited
From Zero-Shot Machine Learning to Zero-Day Attack Detection
Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher +1
The standard ML methodology assumes that the test samples are derived from a set of pre-observed classes used in the training phase. Where the model extracts and learns useful patt…
cs.LG2021
Examining average and discounted reward optimality criteria in reinforcement learning
Vektor Dewanto, Marcus Gallagher
In reinforcement learning (RL), the goal is to obtain an optimal policy, for which the optimality criterion is fundamentally important. Two major optimality criteria are average an…
cs.LG2021
A nearly Blackwell-optimal policy gradient method
Vektor Dewanto, Marcus Gallagher
For continuing environments, reinforcement learning (RL) methods commonly maximize the discounted reward criterion with discount factor close to 1 in order to approximate the avera…