AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Behavioral Foundation Models (BFMs) are an emerging paradigm in reinforcement learning, playing a role analogous to large language models in natural language processing: they have shown remarkable versatility, enabling zero-shot performance, fast imitation, and online adaptation, all by exploiting the structure of a la...
Vision-Language-Action (VLA) models have become a prominent paradigm for mapping multimodal inputs, including semantic instructions, visual observations of the scene, and proprioceptive observations, to robot actions. Most state-of-the-art models predict actions in the end-effector pose space as sequences of action chu...
An alternative reward shaping method (RS) is proposed that removes deceptive rewards at the expense of theoretical guarantees of PBRS, and another method named Locally-Guided Actor Critic (LG-AC) that rewards the agent for reaching intermediate goals achieves the best overall performance across tasks.
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