AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Reinforcement learning for long-horizon agents typically relies on sparse outcome-based rewards. This leads to a severe cold-start problem, as early-stage policies often fail to solve sampled tasks, leaving little useful reward signal for learning. To mitigate this problem, we use on-policy distillation (OPD) to provid...
When foundation models describe people, recent work in AI fairness, accessibility, and ethics recommends avoiding inferred identity labels (e.g.,"she","his") in favor of seemingly"objective"physical descriptions (e.g.,"short hair","a defined jawline"). Yet whether such descriptive language achieves gender-neutral commu...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.