367 citations · 772 across the 42 of their papers we have counts for
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cs.LG2020
Adversary Agnostic Robust Deep Reinforcement Learning
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta +1
Deep reinforcement learning (DRL) policies have been shown to be deceived by perturbations (e.g., random noise or intensional adversarial attacks) on state observations that appear…
cs.LG2020
Heterogeneous Representation Learning: A Review
Joey Tianyi Zhou, Xi Peng, Yew-Soon Ong
The real-world data usually exhibits heterogeneous properties such as modalities, views, or resources, which brings some unique challenges wherein the key is Heterogeneous Represen…