AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper proposes Future Information-Directed Sampling (FIDS), a new algorithm for Bayesian nonstationary bandits that explicitly explores to gather information about future optimal arms and shows that FIDS achieves regret comparable to Thompson Sampling up to a small constant factor.
The advancement of Embodied AI necessitates high-quality simulation assets that faithfully mirror the real world. However, transforming raw visual observations into simulation-ready scenes remains challenging due to the lack of physical grounding and scene-level interactivity in current image-to-URDF methods. We propos...
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