AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is suggested that variation among actions sampled by a generative policy can serve as an online control signal for balancing assistance and compliance in physical human-robot interaction.
A deep AIF framework that integrates a diffusion policy as the policy model and a multiple timescale recurrent state-space model (MTRSSM) as the world model is proposed, demonstrating how AIF based on EFE minimization can unify exploration and goal-directed navigation in real-world robotic settings.
ActivAsk is presented, a zero-shot framework for resolving referential ambiguity before robotic grasping that selects among VLM-proposed candidate partitions using an expected free energy (EFE) criterion motivated by active inference; with neutral response preferences, this reduces to information gain over candidate pa...
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