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20232026
most citedSafety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles

1 citations · 1 across the 4 of their papers we have counts for

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cs.AI2026

SpecMAGIC: Specification-Guided Multi-Task Generalization in Multi-Agent Reinforcement Learning

Zijian Guo, İlker Işık, H. M. Sabbir Ahmad +1

Multi-task generalization is an important yet underexplored problem in multi-agent reinforcement learning (MARL). Many real-world applications require multi-agent systems to genera…

cs.CV2026

VLM-UQBench: A Benchmark for Modality-Specific and Cross-Modality Uncertainties in Vision Language Models

Chenyu Wang, Tianle Chen, H. M. Sabbir Ahmad +2

Uncertainty quantification (UQ) is vital for ensuring that vision-language models (VLMs) behave safely and reliably. A central challenge is to localize uncertainty to its source, d…