46 citations · 47 across the 2 of their papers we have counts for
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cs.LG2024★ 1 cited
Adversarial Machine Unlearning
Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik +1
This paper focuses on the challenge of machine unlearning, aiming to remove the influence of specific training data on machine learning models. Traditionally, the development of un…
cs.LG2016★ 46 cited
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening
Frank S. He, Yang Liu, Alexander G. Schwing +1
We propose a novel training algorithm for reinforcement learning which combines the strength of deep Q-learning with a constrained optimization approach to tighten optimality and e…