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

3 citations

researchers with a paper here
collaborating institutions
Showing cs.LGShow all

2 papers · 1 filter

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

Optimal Transport Aggregation for Distributed Mixture-of-Experts

Faïcel Chamroukhi, Nhat Thien Pham

Mixture-of-experts (MoE) models provide a flexible statistical framework for modeling heterogeneity and nonlinear relationships. In many modern applications, however, datasets are…