Author

Peihao Yan

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Review Aug 2026

Deep Reinforcement Learning for 6G AI-RAN: A Comprehensive Survey

This article presents the first dedicated and comprehensive survey of DRL for Open AI-RAN, and reviews the foundations of model-free, model-based, offline, safe, multi-agent, federated, and transfer learning, and provides an O-RAN-aware framework for formulating RAN control problems through states, observations, actions, rewards, constraints, and temporal structure.

Jie Lu, Peihao Yan, Qijun Wang et al. · 0 citations