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Found 2 papers, 1 papers with code
Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks
This article addresses the problem of Ultra Reliable Low Latency Communications (URLLC) in wireless networks, a framework with particularly stringent constraints imposed by many Internet of Things (IoT) applications from diverse sectors.
Estimating Risk and Uncertainty in Deep Reinforcement Learning
Reinforcement learning agents are faced with two types of uncertainty.
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