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New MARL Framework Enhances AUV Collaboration Under Covert Constraints

By PulseAugur Editorial · [3 sources] ·

This paper introduces the Sensed Information Value Realization Multi-Agent Reinforcement Learning (SVR-MARL) framework, designed for collaborative missions involving multiple autonomous underwater vehicles (AUVs). The framework addresses the challenges of limited perception and communication risks in underwater environments, where active sensing and acoustic communications can increase exposure. SVR-MARL aims to optimize cooperative task efficiency by learning distributed policies that consider realistic communication constraints and the utility of sensed information, as demonstrated in a case study of cooperative localization and tracking. AI

IMPACT This research could improve the efficiency and stealth of coordinated operations for autonomous underwater vehicles.

RANK_REASON The cluster contains a research paper detailing a new framework for multi-agent reinforcement learning.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New MARL Framework Enhances AUV Collaboration Under Covert Constraints

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COVERAGE [3]

  1. arXiv cs.LG TIER_1 English(EN) · Xueyao Zhang, Chenyang Yan, Bo Yang, Xuelin Cao, Zhiwen Yu, Bin Guo, George C. Alexandropoulos, Merouane Debbah, Chau Yuen ·

    Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems

    arXiv:2607.13880v1 Announce Type: new Abstract: In underwater covert cooperative missions, autonomous underwater vehicles (AUVs) often cannot rely on active sonar to continuously obtain complete information, since active sensing and frequent communications increase the risk of ex…

  2. arXiv cs.LG TIER_1 English(EN) · Chau Yuen ·

    Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems

    In underwater covert cooperative missions, autonomous underwater vehicles (AUVs) often cannot rely on active sonar to continuously obtain complete information, since active sensing and frequent communications increase the risk of exposure. As a result, AUVs primarily rely on pass…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems

    In underwater covert cooperative missions, autonomous underwater vehicles (AUVs) often cannot rely on active sonar to continuously obtain complete information, since active sensing and frequent communications increase the risk of exposure. As a result, AUVs primarily rely on pass…

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