21 citations · 39 across the 21 of their papers we have counts for
4 papers · 1 filter
Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL
Yunhao Yang, Yuexin Bian, Yunjie Tian +6
Reinforcement learning (RL) has emerged as a powerful approach for improving reasoning in language and vision-language models, yet its strongest successes still depend heavily on g…
Characterizing Opinion Evolution of Networked LLMs
Caleb Probine, Yigit Ege Bayiz, Filippos Fotiadis +3
Large language models (LLMs) increasingly interact with one another in multi-agent systems, from simulations of human discourse to influence operations and fully LLM-driven social…
What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning
Rohan Siva, Neel P. Bhatt, Yunhao Yang +6
Existing robot planning systems rely on appearance-based reasoning, where visual observations are encoded into latent spaces organized around object appearances (e.g., recognizing…
VASO: Formally Verifiable Self-Evolving Skills for Physical AI Agents
Yunhao Yang, Neel P. Bhatt, Kevin Wang +3
Reusable robot skills are becoming the basic units through which embodied agents turn open-ended instructions into long-horizon physical behavior. We argue that, while foundation m…