Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning

arXiv:2610.06083 · cs.LG, cs.AI · Submitted 2026-10-05 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-10-05

Updated: 2026-10-10

Project page: https://adv-workshop-2020.github.io/short_papers/79.pdf

Terminology

• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• OpenAI Gym
• Explaining and Harnessing Adversarial Examples
• PolicyCleanse: Backdoor Detection and Mitigation in Reinforcement Learning
• Adversarial Attacks on Neural Network Policies
• PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning
• SPEAR: Distilling Domain-Adaptive Reasoning Skeletons via Sequential Symbolic Alignment in Reinforcement Learning

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