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Hao Zhu

I work towards generally intelligent partners for humans, building benchmarks and training methods for AI agents that interact with computers, the physical world, and with humans and other agents.

๐ŸŒ hao.computer ยท ๐ŸŽ“ Google Scholar ยท ๐Ÿฆ‹ Bluesky ยท ๐• @_Hao_Zhu

Selected projects

Sotopia โ€” Open-ended social learning environment for language agents. ICLR 2024 Spotlight.

CooperBench โ€” Why frontier coding agents lose ~50% of their solo performance when forced to collaborate. COLM 2026

AutoLibra โ€” Turning open-ended human feedback into reliable agent metrics. ICLR 2026.

WebArena โ€” Realistic web environment for autonomous agents. I authored browser_env, the environment layer adopted by BrowserGym, AgentLab, VisualWebArena, and HuggingFace OpenEnv. Used in production at OpenAI Operator, Meta, Google DeepMind, ServiceNow. ICLR 2024.

aact โ€” Lightweight Python actor-model library powering asynchronous multi-agent systems.

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