
This work introduces a hybrid approach that integrates Multi-Agent Reinforcement Learning with control-theoretic methods to ensure safe and efficient distributed strategies for dynamic network bridging tasks.


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integrating-multi-agent-reinforcement-learning-with-control-theoretic-safety-guarantees-for-dynamic-network-bridging


Integrating Multi-Agent Reinforcement Learning with Control-Theoretic Safety Guarantees for Dynamic Network Bridging
