Qi Zhu

LLM agents can now learn complex multi-turn tasks with critic-free RL by dynamically shaping advantages based on an evolving "Agentic Reference Graph."

Massive geometric $\infty$-topoi can be fully recovered from their local "petit" counterparts through partially lax limits, realizing Lurie's fractured topos vision and unlocking a gros étale exodromy theorem.