mlsanityData to 14 Oct 2026

ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps

arXiv 2605.22306 ↗First posted 21 May 2026cs.MA cs.AIcited by 0

On the map: Deep reinforcement learning methods → RL for energy, networks and operations

Abstract (arXiv)

Conflict Mitigation (ConMit) is a crucial part of intelligent network control in Open Radio Access Networks (O-RAN). In this paper, we propose a method named ACCoRD to resolve detected control conflicts in Near-Real Time RAN Intelligent Controller using a Conflict Resolution (CR) Agent with an Artificial Neural Network (ANN) trained with a reinforcement learning algorithm PPO-Clip. The implemented ANN analyzes data about the network and conflicting control decisions to infer optimal CR actions. The CR Agent gathers feedback from the network after each resolved conflict to assess its efficiency and adjust the ANN's weights during batch training. The evaluation of the proposed approach is based on simulation data. A new methodology for evaluating CR solutions is proposed. Results show that the proposed ANN-based method improves on the efficiency of rule-based approaches by significantly reducing negative network events caused by conflicting control decisions in medium and high traffic scenarios.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in RL for energy, networks and operations, one of 15 directions in Deep reinforcement learning methods. Builds on 6 of its 11 references that are in the map. First posted on arXiv 21 May 2026.

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6 of 11 references.

References · 6

  1. 2017Proximal Policy Optimization Algorithmscited by 15,215
  2. 2024PACIFISTA: Conflict Evaluation and Management in Open RANcited by 10
  3. 2023Conflict Mitigation Framework and Conflict Detection in O-RAN Near-RT RICcited by 7
  4. 2025COMIX: Generalized Conflict Management in O-RAN xApps -- Architecture, Workflow, and a Power Control casecited by 5
  5. 2024xApp Distillation: AI-based Conflict Mitigation in B5G O-RANcited by 3
  6. 2024QACM: QoS-Aware xApp Conflict Mitigation in Open RANcited by 2

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  4. 2024Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management
  5. 2025On AI Verification in Open RAN
  6. 2024Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN
  7. 2026ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning
  8. 2025ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing