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FARM: Fundamental Agentic Reward Model For Multi-task Wireless Network Optimization
Future wireless networks require learning agents to adapt across heterogeneous channel conditions, traffic patterns, quality-of-service (QoS) requirements, objectives, and operational constraints. Reusing decision knowledge across such tasks is challenging because conventional multi-task and transfe
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