Reinforcement Unlearning. (arXiv:2312.15910v2 [cs.CR] UPDATED)

Machine unlearning refers to the process of mitigating the influence of
specific training data on machine learning models based on removal requests
from data owners. However, one important area that has been largely overlooked
in the research of unlearning is reinforcement learning. Reinforcement learning
focuses on training an agent to make optimal decisions within an environment to
maximize its cumulative rewards. During the training, the agent tends to
memorize the features of the environment, which raises a significant concern
about …

agent area arxiv data important influence machine machine learning machine learning models process requests research training training data