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Found 6 papers, 1 papers with code
Distributed Autonomous Swarm Formation for Dynamic Network Bridging
Effective operation and seamless cooperation of robotic systems are a fundamental component of next-generation technologies and applications.
Multi-Agent Reinforcement Learning with Control-Theoretic Safety Guarantees for Dynamic Network Bridging
Addressing complex cooperative tasks in safety-critical environments poses significant challenges for Multi-Agent Systems, especially under conditions of partial observability.
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
Efficient information dissemination is crucial for supporting critical operations across domains like disaster response, autonomous vehicles, and sensor networks.
Learning to Sail Dynamic Networks: The MARLIN Reinforcement Learning Framework for Congestion Control in Tactical Environments
Conventional Congestion Control (CC) algorithms, such as TCP Cubic, struggle in tactical environments as they misinterpret packet loss and fluctuating network performance as congestion symptoms.
MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks
Fast and efficient transport protocols are the foundation of an increasingly distributed world.
Marine vessel tracking using a monocular camera
In this paper, a new technique for camera calibration using only GPS data is presented.
