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cs.LG2026
Attention-based Hierarchical Variational Information Bottleneck for Robust Multi-Agent Communication under Variable Bandwidth
Lukas Koch Vindbjerg, Qi Zhang, Yury Brodskiy +1
Learning-based multi-agent communication under limited bandwidth does not only require deciding what to communicate, but also structuring messages so that partial transmissions rem…
cs.LG2025
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Abdelhakim Amer, David Felsager, Yury Brodskiy +1
Physics-informed neural networks (PINNs) integrate physical laws with data-driven models to improve generalization and sample efficiency. This work introduces an open-source implem…