AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The proposed lightweight consensus mechanism establishes a multi-level root of trust to ensure secure data distribution and fine-grained access control across the system lifecycle in resource-constrained industrial audit environments.
A mapless deep reinforcement learning (DRL) framework is proposed that fuses visual and 2D LiDAR data, integrates a self-attention soft actor-critic (SAC) architecture and a customized reward function, and achieves robust autonomous navigation and exploration without requiring obstacle priors.
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