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Showing 1 to 1 of 1 for “"Constrained reinforcement learning"”.
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A Trustworthy Deep Reinforcement Learning Framework for Slicing in Next-Generation Open Radio Access Networks
… meet their performance requirements. While deep reinforcement learning (DRL) has shown promise in managing inter-slice resource allocation (RA), its practical application faces several challenges, such as generalization and safety, which hinder the widespread adoption of DRL algorithms in real …