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cs.LG2026
From Intents to Actions: Agentic AI in Autonomous Networks
Burak Demirel, Pablo Soldati, Yu Wang
Telecommunication networks are increasingly expected to operate autonomously while supporting heterogeneous services with diverse and often conflicting intents -- that is, performa…
cs.LG2026
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…