2 papers
cs.LG2026
State-Augmented Learning for Post-Deployment Adaptation of Coexisting O-RAN Applications
Wonhyeok Ko, Yeonseo Jeong, Songnam Hong
Fixed control policies in Open RAN can require retraining when service requirements, traffic loads, or interacting applications change. We propose ATTUNE, a state-augmented learnin…
cs.LG2026
Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints
Yeonseo Jeong, Wonhyeok Ko, Sungweon Hong +1
Maximizing throughput under proportional fairness in dense wireless networks requires jointly managing user association, scheduling, base station (BS) activation, and handover cont…