most citedA Hybrid Reinforcement Learning Framework for Hard Latency Constrained Resource Scheduling

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eess.SP2026

Fused Constrained Policy Reuse Optimization for Wireless Resource Allocation

An Liu, Zheyuan Zhou, Kexuan Wang

Deep reinforcement learning (DRL) has been widely adopted for wireless resource allocation due to its model-free adaptability. However, online exploration is costly, as randomly in…