AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 14 papers
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.
Achieve-Grounded Memory is proposed, a lightweight closed-loop framework for frozen VLA policies that represents a task as a subgoal sequence with a progress pointer and advances this memory only after the current subgoal is verified by physical evidence.
FoMoVLA is proposed, a framework that augments VLA representations with explicit spatio-temporal supervision by jointly learning future feature foresight and sparse 2D point tracking, enhancing the continuous action policy.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.