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20242026
most citedRobust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

3 citations · 6 across the 4 of their papers we have counts for

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cs.AI2026

Stein Variational Black-Box Combinatorial Optimization

Thomas Landais, Olivier Goudet, Adrien Goëffon +2

Combinatorial black-box optimization in high-dimensional settings demands a careful trade-off between exploiting promising regions of the search space and preserving sufficient exp…

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…