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cs.LG2022★ 1 cited
Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning
Elliot Way, Dheeraj S. K. Kapilavai, Yiwei Fu +1
We introduce Backpropagation Through Time and Space (BPTTS), a method for training a recurrent spatio-temporal neural network, that is used in a homogeneous multi-agent reinforceme…
cs.LG2018
Adversarial Examples in Deep Learning: Characterization and Divergence
Wenqi Wei, Ling Liu, Margaret Loper +4
The burgeoning success of deep learning has raised the security and privacy concerns as more and more tasks are accompanied with sensitive data. Adversarial attacks in deep learnin…