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When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning

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arXiv:2605. 16312v1 Announce Type: new Abstract: We study adversarial action masking in self-play reinforcement learning: an attacker selectively removes legal actions from a victim's action set.

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Authors: Arahan Kujur
Released: 2026-05-19 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning overlaps with clean result "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)", 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)". Matching terms: under, line. Source: arxiv cs.LG (Machine Learning).
arXiv: 2605.16312

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