2 papers
cs.SI2024
Attacks on Node Attributes in Graph Neural Networks
Ying Xu, Michael Lanier, Anindya Sarkar +1
Graphs are commonly used to model complex networks prevalent in modern social media and literacy applications. Our research investigates the vulnerability of these graphs through t…
cs.LG2024
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
Michael Lanier, Ying Xu, Nathan Jacobs +2
Deep reinforcement learning has demonstrated remarkable achievements across diverse domains such as video games, robotic control, autonomous driving, and drug discovery. Common met…