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Notes on o-ran

4 notes

  1. ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

    Source note · Jul 9, 2026 · robustness, rl, catastrophic forgetting

    The paper proposes a Q-learning based adaptive retraining approach for Open Radio Access Networks (O-RAN) using Reinforcement Learning (RL). The goal is to balance forecasting accuracy and retraining cost, which can…

  2. ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

    Source note · Jul 9, 2026 · o-ran

    Researchers propose a Q-learning-based adaptive retraining approach using Reinforcement Learning (RL) to handle drift in Open Radio Access Networks (O-RAN). This approach aims to balance forecasting accuracy and…

  3. ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

    Source note · Jul 9, 2026 · reinforcement learning, catastrophic forgetting, o-ran

    The paper proposes an adaptive retraining method for Open Radio Access Networks (O-RAN) using Reinforcement Learning (RL). The goal is to balance forecasting accuracy and retraining cost in the presence of dynamic…

  4. ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

    Source note · Jul 9, 2026 · catastrophic forgetting, o-ran

    Researchers propose a Q-learning based adaptive retraining approach for Open Radio Access Networks (O-RAN) using Reinforcement Learning (RL) to address the issue of drift that degrades the performance of AI/ML models…

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