3 papers
cs.DM2026
Metropolis-Hastings Sampling of Phylogenetic Networks: Correcting for Symmetries
Leo van Iersel, Remie Janssen, Mark Jones +2
In phylogenetics, Metropolis-Hastings methods are commonly used to sample phylogenetic trees or networks, for example from Bayesian posteriors. These methods generally use transiti…
cs.NI2026
Diffusion-Guided Cooperative Policy Learning for Target Tracking Based on Underwater Mobile Agent Networks
Jiaao Ma, Chuan Lin, Guangjie Han +3
Multi-agent reinforcement learning (MARL) provides a promising solution for cooperative target tracking in networks of autonomous underwater vehicles (AUVs). However, existing meth…
cs.NI2026
DHEA-MECD: An Embodied Intelligence-Powered DRL Algorithm for AUV Tracking in Underwater Environments with High-Dimensional Features
Kai Tian, Chuan Lin, Guangjie Han +4
In recent years, autonomous underwater vehicle (AUV) systems have demonstrated significant potential in complex marine exploration. However, effective AUV-based tracking remains ch…