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Found 2 papers, 1 papers with code
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning
An agent may decide to transmit a certain number of steps into the future, but this decision is not communicated to the other agents, so it the task of the individual agents to attempt to transmit at appropriate times.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio
More significantly, as the primary goal, this is the first work that has established the feasibility of deploying DRL to provide optimized distributed resource allocation for next-generation of GPU-embedded radios.
