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cs.NI2026
Selecting Offline Reinforcement Learning Algorithms for Stochastic Network Control
Nicolas Helson, Pegah Alizadeh, Anastasios Giovanidis
Offline Reinforcement Learning (RL) is a promising approach for next-generation wireless networks, where online exploration is unsafe and large amounts of operational data can be r…
cs.NI2025
Offline Reinforcement Learning for Mobility Robustness Optimization
Pegah Alizadeh, Anastasios Giovanidis, Pradeepa Ramachandra +2
In this work we revisit the Mobility Robustness Optimisation (MRO) algorithm and study the possibility of learning the optimal Cell Individual Offset tuning using offline Reinforce…