Portrait of Zhaoyang Yu

Zhaoyang Yu

AI Researcher, Vatic Labs

AI Engineer & Researcher. I am currently an AI Researcher at Vatic Labs.

My work spans hierarchical multi-agent orchestration, cross-environment agent learning, scalable environment generation, agent workflow optimization, and protocols for agentic societies. I co-founded OpenManus, an open-source agent infrastructure with 56k+ GitHub stars, and work with the Foundation Agents community. I received my B.E. from Renmin University of China.

Focus

  • Agent learning. Learning is key to cross-environment capabilities. Learning environment dynamics requires complex optimization approaches, signals, and targets beyond model parameters, like AFlow optimizing decision workflows and SPO exploring new reward signals for prompt optimization.
  • Decision-making. Human decision-making naturally enables cross-environment learning and generalization. AOrchestra automates sub-agent creation, AoT atomizes reasoning to address context limitations, and ReCode unifies planning and action for more natural decision-making.
  • Environment scaling. Agent environments are simplified versions of human environments, lacking complexity, dynamics, and rich reward signals. We explore scalable environments through AutoWebWorld, Scalable Environments, and AutoEnv.
  • Agent society. As agent systems become interoperable infrastructure, Foundation Protocol studies coordination layers for multi-agent organization, value exchange, provenance, and governance.

Selected Publications

Selected Projects

Experience

Service

Talks

Blogs