AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is demonstrated that effective and generalizable transmission protocols can be discovered in silico, suggesting a path toward AI-assisted design of coordination infrastructure that enhances human collective intelligence.
A closed-loop framework based on autotelic reinforcement learning is introduced, in which an agent autonomously samples diverse goals and learns a goal-conditioned policy to intervene in a complex system through minimal, local perturbations, suggesting a path toward artificial experimentalist agents that, autonomously...
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