Hao Zhu

he/him/他

朱昊

Postdoctoral

Stanford University

zhuhao@stanford.edu

AI, Cooperation, Language, CogSci, Robotics.

I take an interactionist approach. This means the priority of my research is to raise agents in the realistic open-ended multi-agent embodied environments -- opensocial.world.

For examples of environments, check out Sotopia and WebArena. For examples of methods for training agents in these environments, check out Sotopia-π and NNetNav-live. Lately, EgoNormia benchmarked the preparedness of frontier models for embodied interactions with humans.

My ultimate goal is to unravel the mysteries of human intelligence through building AI. My research not only takes inspiration from but also contributes to a better understanding of humans themselves. You will have the sense of this research taste if you read the first sentence of each of the above papers.

If you approach me, consider the following topics that I am mostly interested in:

1. 1. How to build agents that can think while doing?
2. 2. What are the new dynamics of Human-AI interaction?
3. 3. How to enable social learning in AI agents?