most citedRobust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

3 citations · 3 across the 1 of their papers we have counts for

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2 papers

cs.LG2026★ 3 cited

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

Lucas Schott, Josephine Delas, Hatem Hajri +5

Deep Reinforcement Learning (DRL) is a subfield of machine learning for training autonomous agents that take sequential actions across complex environments. Despite its significant…

cs.LG2026

Reward-Preserving Attacks For Robust Reinforcement Learning

Lucas Schott, Elies Gherbi, Hatem Hajri +1

Adversarial training in reinforcement learning (RL) is challenging because perturbations cascade through trajectories and compound over time, making fixed-strength attacks either o…