AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
3 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.
falcon{}, a counterexample-grounded verification framework that separates attack exploration from behavioral verification and connects them through execution traces of the program under test, is introduced, suggesting that execution-grounded feedback can mitigate reward overoptimization while preserving useful guidance...
Reinforcement learning from verifiable rewards (RLVR) usually optimizes answer correctness, yet useful language-model behavior also requires high-quality reasoning and concise responses. Existing multi-reward post-training methods typically scalarize rewards or combine specialists without explicitly protecting a reward...
Building2Building (B2B), a large-scale suite of realistic HVAC control environments built on EnergyPlus, a state-of-the-art building simulator, is introduced, defining benchmark tasks targeting key open challenges in RL, including goal adaptation, dynamics adaptation, action-space shifts, and cross-domain transfer.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.