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 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.
