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Exact Unlearning in Reinforcement Learning

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arXiv:2606. 04182v1 Announce Type: cross Abstract: We formulate the problem of \emph{exact unlearning} in reinforcement learning, where the goal is to design an efficient framework that enables the removal of any user's data upon deletion request, i.

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Authors: Thanh Nguyen-Tang, Raman Arora
Released: 2026-06-04 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Exact Unlearning in Reinforcement Learning overlaps with clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: line, never. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.04182

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