AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The proposed Mixture of Roles (MoRe), which adaptively composes multiple specializations into a single steering vector for single-turn inference, enables multi-perspective specialization in a single-agent, single-turn inference process.
This paper proposes World Model RL (WMRL), which replaces environment execution with a world model to remove this bottleneck and accelerates training by 3-4x on various tasks at different agent scales, while exceeding the performance of standard RL baselines.
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