An LLM-plus-deep-RL hybrid is proposed for cloud fault self-healing, claiming 37% faster recovery on unknown faults with weak experimental documentation.
Ai-driven fault detection and predictive maintenance in elec- trical power systems: A systematic review of data-driven approaches, digital twins, and self-healing grids,
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An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning
An LLM-plus-deep-RL hybrid is proposed for cloud fault self-healing, claiming 37% faster recovery on unknown faults with weak experimental documentation.