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cs.LG2025
Practical Policy Distillation for Reinforcement Learning in Radio Access Networks
Sara Khosravi, Burak Demirel, Linghui Zhou +2
Adopting artificial intelligence (AI) in radio access networks (RANs) presents several challenges, including limited availability of link-level measurements (e.g., CQI reports), st…
cs.LG2025
Generalization in Reinforcement Learning for Radio Access Networks
Burak Demirel, Yu Wang, Cristian Tatino +1
Modern RAN operate in highly dynamic and heterogeneous environments, where hand-tuned, rule-based RRM algorithms often underperform. While RL can surpass such heuristics in constra…