Author

A. Subudhi

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Jul 2026

ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

Experimental results show that the proposed Q-learning-based adaptive retraining approach effectively reduces retraining overhead compared to greedy and random baselines, while maintaining system performance within predefined limits.

A. Subudhi, Bhargav Chirumamilla, Shubham Vaishnav et al. · arXiv.org · 0 citations