most citedCURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

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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

Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning

Franki Nguimatsia Tiofack, Théotime Le Hellard, Fabian Schramm +2

Offline reinforcement learning often relies on behavior regularization that enforces policies to remain close to the dataset distribution. However, such approaches fail to distingu…

cs.LG2025

ENMA: Tokenwise Autoregression for Generative Neural PDE Operators

Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano +1

Solving time-dependent parametric partial differential equations (PDEs) remains a fundamental challenge for neural solvers, particularly when generalizing across a wide range of ph…