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Page title: Hao Zhu

<!DOCTYPE html><html lang="en" class="dark"> <head><meta charset="UTF-8"><meta name="description" content="AI Researcher at Stanford University. His work laid foundation on language agent research, and now he is interested in Human-Agent Interaction."><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><title>Hao Zhu</title><script type="module">localStorage.getItem("theme")==="light"||!localStorage.getItem("theme")&&window.matchMedia("(prefers-color-scheme: light)").matches?document.documentElement.classList.remove("dark"):document.documentElement.classList.add("dark");</script><link rel="stylesheet" href="/_astro/blog.C5XUtT1s.css"></head> <body> <div id="app">  <div class="min-h-screen bg-background"> <div class="w-[28rem] md:w-[36rem] lg:w-[40rem] xl:w-[44rem] grid grid-cols-2 md:grid-cols-8 gap-x-4 md:gap-x-8 lg:gap-x-12 xl:gap-x-16 gap-y-8 mx-auto px-4 py-8"> <!-- Static Header Section --> <h1 class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group"> <p class="text-2xl"> Hao Zhu </p> <p class="text-lg font-extralight -translate-y-1"> he/him/他 </p> <p class="hidden group-hover:block text-lg">朱昊</p> <p class="text-sm">Postdoctoral</p> <p class="text-sm">Stanford University</p> <p class="text-sm"><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="02786a776a636d427176636c646d70662c676677">[email&#160;protected]</a></p> <p class="text-sm italic">
AI, Cooperation, Language, CogSci, Robotics.
</p> </h1> <div class="col-span-2 md:col-span-6"> <img class="Image rounded-xl shadow-xl hover:shadow-2xl hover:-translate-y-0.5 relative transition-shadow duration-200 dark:shadow-gray-500 w-full h-auto" src="/portrait-landscape.jpg" alt="Hao Zhu at Boston"> </div> <!-- Me Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="me">
Me
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <span>I am a researcher with a focus on creating </span> <span class="hover:underline" title="in the virtual and real worlds">AI agents</span>  that learn to  <span class="hover:underline" title="using language and anything else">communicate</span>  and  <span class="hover:underline" title="under mixed objectives">cooperate</span>  with humans, or <b>Human-Agent Interaction</b>.
</div> </div> <!-- Research Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="my-research">
My Research
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <p>
I take an interactionist approach. This means the priority of my
          research is to  <span class="italic hover:underline" title="aka train and evaluate">bring up</span> 
agents in the realistic open-ended multi-agent embodied
          environments.  </p> <br> <p>
For examples of environments, check out  <a href="https://sotopia.world">Sotopia</a> and  <a href="https://webarena.dev">WebArena</a>. We recently studied
          how to build real-time agents: <a href="https://realtimegym.saltlab.stanford.edu">Real-time gym</a>. For examples of
          methods for training agents in these environments, check out  <a href="https://pi.sotopia.world">Sotopia-π</a> and  <a href="https://nnetnav.dev">NNetNav-live</a>. Lately,  <a href="https://egonormia.org">EgoNormia</a> benchmarked 
the preparedness of frontier models for embodied interactions with
          humans.  <a href="https://autolibra.opensocial.world">AutoLibra</a> 
allows agents to develop self-regulation metrics from human
          open-ended feedback.
</p> <br> <p>
My research is built along three major dimensions for agents: the
          behavior of agents, e.g. like a computer, a robot, or a simulated
          human; the cognition of agents, e.g. reasoning about humans, other
          agents, or time and space; and the learning of agents, e.g.
          through exploration, environment feedback, or human feed

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Open service 2606:4700:3030::6815:2596:443 · hao.computer

2026-01-09 21:08

HTTP/1.1 200 OK
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Page title: Hao Zhu

<!DOCTYPE html><html lang="en" class="dark"> <head><meta charset="UTF-8"><meta name="description" content="AI Researcher at Stanford University. His work laid foundation on language agent research, and now he is interested in Human-Agent Interaction."><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><title>Hao Zhu</title><script type="module">localStorage.getItem("theme")==="light"||!localStorage.getItem("theme")&&window.matchMedia("(prefers-color-scheme: light)").matches?document.documentElement.classList.remove("dark"):document.documentElement.classList.add("dark");</script><link rel="stylesheet" href="/_astro/blog.C5XUtT1s.css"></head> <body> <div id="app">  <div class="min-h-screen bg-background"> <div class="w-[28rem] md:w-[36rem] lg:w-[40rem] xl:w-[44rem] grid grid-cols-2 md:grid-cols-8 gap-x-4 md:gap-x-8 lg:gap-x-12 xl:gap-x-16 gap-y-8 mx-auto px-4 py-8"> <!-- Static Header Section --> <h1 class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group"> <p class="text-2xl"> Hao Zhu </p> <p class="text-lg font-extralight -translate-y-1"> he/him/他 </p> <p class="hidden group-hover:block text-lg">朱昊</p> <p class="text-sm">Postdoctoral</p> <p class="text-sm">Stanford University</p> <p class="text-sm"><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="87fdeff2efe6e8c7f4f3e6e9e1e8f5e3a9e2e3f2">[email&#160;protected]</a></p> <p class="text-sm italic">
AI, Cooperation, Language, CogSci, Robotics.
</p> </h1> <div class="col-span-2 md:col-span-6"> <img class="Image rounded-xl shadow-xl hover:shadow-2xl hover:-translate-y-0.5 relative transition-shadow duration-200 dark:shadow-gray-500 w-full h-auto" src="/portrait-landscape.jpg" alt="Hao Zhu at Boston"> </div> <!-- Me Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="me">
Me
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <span>I am a researcher with a focus on creating </span> <span class="hover:underline" title="in the virtual and real worlds">AI agents</span>  that learn to  <span class="hover:underline" title="using language and anything else">communicate</span>  and  <span class="hover:underline" title="under mixed objectives">cooperate</span>  with humans, or <b>Human-Agent Interaction</b>.
</div> </div> <!-- Research Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="my-research">
My Research
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <p>
I take an interactionist approach. This means the priority of my
          research is to  <span class="italic hover:underline" title="aka train and evaluate">bring up</span> 
agents in the realistic open-ended multi-agent embodied
          environments.  </p> <br> <p>
For examples of environments, check out  <a href="https://sotopia.world">Sotopia</a> and  <a href="https://webarena.dev">WebArena</a>. We recently studied
          how to build real-time agents: <a href="https://realtimegym.saltlab.stanford.edu">Real-time gym</a>. For examples of
          methods for training agents in these environments, check out  <a href="https://pi.sotopia.world">Sotopia-π</a> and  <a href="https://nnetnav.dev">NNetNav-live</a>. Lately,  <a href="https://egonormia.org">EgoNormia</a> benchmarked 
the preparedness of frontier models for embodied interactions with
          humans.  <a href="https://autolibra.opensocial.world">AutoLibra</a> 
allows agents to develop self-regulation metrics from human
          open-ended feedback.
</p> <br> <p>
My research is built along three major dimensions for agents: the
          behavior of agents, e.g. like a computer, a robot, or a simulated
          human; the cognition of agents, e.g. reasoning about humans, other
          agents, or time and space; and the learning of agents, e.g.
          through exploration, environment feedback, or human feed

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HTTP/1.1 200 OK
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Page title: Hao Zhu

<!DOCTYPE html><html lang="en" class="dark"> <head><meta charset="UTF-8"><meta name="description" content="AI Researcher at Stanford University. His work laid foundation on language agent research, and now he is interested in Human-Agent Interaction."><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><title>Hao Zhu</title><script type="module">localStorage.getItem("theme")==="light"||!localStorage.getItem("theme")&&window.matchMedia("(prefers-color-scheme: light)").matches?document.documentElement.classList.remove("dark"):document.documentElement.classList.add("dark");</script><link rel="stylesheet" href="/_astro/blog.C5XUtT1s.css"></head> <body> <div id="app">  <div class="min-h-screen bg-background"> <div class="w-[28rem] md:w-[36rem] lg:w-[40rem] xl:w-[44rem] grid grid-cols-2 md:grid-cols-8 gap-x-4 md:gap-x-8 lg:gap-x-12 xl:gap-x-16 gap-y-8 mx-auto px-4 py-8"> <!-- Static Header Section --> <h1 class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group"> <p class="text-2xl"> Hao Zhu </p> <p class="text-lg font-extralight -translate-y-1"> he/him/他 </p> <p class="hidden group-hover:block text-lg">朱昊</p> <p class="text-sm">Postdoctoral</p> <p class="text-sm">Stanford University</p> <p class="text-sm"><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="b3c9dbc6dbd2dcf3c0c7d2ddd5dcc1d79dd6d7c6">[email&#160;protected]</a></p> <p class="text-sm italic">
AI, Cooperation, Language, CogSci, Robotics.
</p> </h1> <div class="col-span-2 md:col-span-6"> <img class="Image rounded-xl shadow-xl hover:shadow-2xl hover:-translate-y-0.5 relative transition-shadow duration-200 dark:shadow-gray-500 w-full h-auto" src="/portrait-landscape.jpg" alt="Hao Zhu at Boston"> </div> <!-- Me Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="me">
Me
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <span>I am a researcher with a focus on creating </span> <span class="hover:underline" title="in the virtual and real worlds">AI agents</span>  that learn to  <span class="hover:underline" title="using language and anything else">communicate</span>  and  <span class="hover:underline" title="under mixed objectives">cooperate</span>  with humans, or <b>Human-Agent Interaction</b>.
</div> </div> <!-- Research Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="my-research">
My Research
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <p>
I take an interactionist approach. This means the priority of my
          research is to  <span class="italic hover:underline" title="aka train and evaluate">bring up</span> 
agents in the realistic open-ended multi-agent embodied
          environments.  </p> <br> <p>
For examples of environments, check out  <a href="https://sotopia.world">Sotopia</a> and  <a href="https://webarena.dev">WebArena</a>. We recently studied
          how to build real-time agents: <a href="https://realtimegym.saltlab.stanford.edu">Real-time gym</a>. For examples of
          methods for training agents in these environments, check out  <a href="https://pi.sotopia.world">Sotopia-π</a> and  <a href="https://nnetnav.dev">NNetNav-live</a>. Lately,  <a href="https://egonormia.org">EgoNormia</a> benchmarked 
the preparedness of frontier models for embodied interactions with
          humans.  <a href="https://autolibra.opensocial.world">AutoLibra</a> 
allows agents to develop self-regulation metrics from human
          open-ended feedback.
</p> <br> <p>
My research is built along three major dimensions for agents: the
          behavior of agents, e.g. like a computer, a robot, or a simulated
          human; the cognition of agents, e.g. reasoning about humans, other
          agents, or time and space; and the learning of agents, e.g.
          through exploration, environment feedback, or human feed

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Page title: Hao Zhu

<!DOCTYPE html><html lang="en" class="dark"> <head><meta charset="UTF-8"><meta name="description" content="AI Researcher at Stanford University. His work laid foundation on language agent research, and now he is interested in Human-Agent Interaction."><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><title>Hao Zhu</title><script type="module">localStorage.getItem("theme")==="light"||!localStorage.getItem("theme")&&window.matchMedia("(prefers-color-scheme: light)").matches?document.documentElement.classList.remove("dark"):document.documentElement.classList.add("dark");</script><link rel="stylesheet" href="/_astro/blog.C5XUtT1s.css"></head> <body> <div id="app">  <div class="min-h-screen bg-background"> <div class="w-[28rem] md:w-[36rem] lg:w-[40rem] xl:w-[44rem] grid grid-cols-2 md:grid-cols-8 gap-x-4 md:gap-x-8 lg:gap-x-12 xl:gap-x-16 gap-y-8 mx-auto px-4 py-8"> <!-- Static Header Section --> <h1 class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group"> <p class="text-2xl"> Hao Zhu </p> <p class="text-lg font-extralight -translate-y-1"> he/him/他 </p> <p class="hidden group-hover:block text-lg">朱昊</p> <p class="text-sm">Postdoctoral</p> <p class="text-sm">Stanford University</p> <p class="text-sm"><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="a8d2c0ddc0c9c7e8dbdcc9c6cec7dacc86cdccdd">[email&#160;protected]</a></p> <p class="text-sm italic">
AI, Cooperation, Language, CogSci, Robotics.
</p> </h1> <div class="col-span-2 md:col-span-6"> <img class="Image rounded-xl shadow-xl hover:shadow-2xl hover:-translate-y-0.5 relative transition-shadow duration-200 dark:shadow-gray-500 w-full h-auto" src="/portrait-landscape.jpg" alt="Hao Zhu at Boston"> </div> <!-- Me Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="me">
Me
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <span>I am a researcher with a focus on creating </span> <span class="hover:underline" title="in the virtual and real worlds">AI agents</span>  that learn to  <span class="hover:underline" title="using language and anything else">communicate</span>  and  <span class="hover:underline" title="under mixed objectives">cooperate</span>  with humans, or <b>Human-Agent Interaction</b>.
</div> </div> <!-- Research Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="my-research">
My Research
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <p>
I take an interactionist approach. This means the priority of my
          research is to  <span class="italic hover:underline" title="aka train and evaluate">bring up</span> 
agents in the realistic open-ended multi-agent embodied
          environments.  </p> <br> <p>
For examples of environments, check out  <a href="https://sotopia.world">Sotopia</a> and  <a href="https://webarena.dev">WebArena</a>. We recently studied
          how to build real-time agents: <a href="https://realtimegym.saltlab.stanford.edu">Real-time gym</a>. For examples of
          methods for training agents in these environments, check out  <a href="https://pi.sotopia.world">Sotopia-π</a> and  <a href="https://nnetnav.dev">NNetNav-live</a>. Lately,  <a href="https://egonormia.org">EgoNormia</a> benchmarked 
the preparedness of frontier models for embodied interactions with
          humans.  <a href="https://autolibra.opensocial.world">AutoLibra</a> 
allows agents to develop self-regulation metrics from human
          open-ended feedback.
</p> <br> <p>
My research is built along three major dimensions for agents: the
          behavior of agents, e.g. like a computer, a robot, or a simulated
          human; the cognition of agents, e.g. reasoning about humans, other
          agents, or time and space; and the learning of agents, e.g.
          through exploration, environment feedback, or human feed

Found 2026-01-09 by HttpPlugin

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2026-01-09 00:52

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Page title: Hao Zhu

<!DOCTYPE html><html lang="en" class="dark"> <head><meta charset="UTF-8"><meta name="description" content="AI Researcher at Stanford University. His work laid foundation on language agent research, and now he is interested in Human-Agent Interaction."><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><title>Hao Zhu</title><script type="module">localStorage.getItem("theme")==="light"||!localStorage.getItem("theme")&&window.matchMedia("(prefers-color-scheme: light)").matches?document.documentElement.classList.remove("dark"):document.documentElement.classList.add("dark");</script><link rel="stylesheet" href="/_astro/blog.C5XUtT1s.css"></head> <body> <div id="app">  <div class="min-h-screen bg-background"> <div class="w-[28rem] md:w-[36rem] lg:w-[40rem] xl:w-[44rem] grid grid-cols-2 md:grid-cols-8 gap-x-4 md:gap-x-8 lg:gap-x-12 xl:gap-x-16 gap-y-8 mx-auto px-4 py-8"> <!-- Static Header Section --> <h1 class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group"> <p class="text-2xl"> Hao Zhu </p> <p class="text-lg font-extralight -translate-y-1"> he/him/他 </p> <p class="hidden group-hover:block text-lg">朱昊</p> <p class="text-sm">Postdoctoral</p> <p class="text-sm">Stanford University</p> <p class="text-sm"><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="413b293429202e013235202f272e33256f242534">[email&#160;protected]</a></p> <p class="text-sm italic">
AI, Cooperation, Language, CogSci, Robotics.
</p> </h1> <div class="col-span-2 md:col-span-6"> <img class="Image rounded-xl shadow-xl hover:shadow-2xl hover:-translate-y-0.5 relative transition-shadow duration-200 dark:shadow-gray-500 w-full h-auto" src="/portrait-landscape.jpg" alt="Hao Zhu at Boston"> </div> <!-- Me Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="me">
Me
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <span>I am a researcher with a focus on creating </span> <span class="hover:underline" title="in the virtual and real worlds">AI agents</span>  that learn to  <span class="hover:underline" title="using language and anything else">communicate</span>  and  <span class="hover:underline" title="under mixed objectives">cooperate</span>  with humans, or <b>Human-Agent Interaction</b>.
</div> </div> <!-- Research Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="my-research">
My Research
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <p>
I take an interactionist approach. This means the priority of my
          research is to  <span class="italic hover:underline" title="aka train and evaluate">bring up</span> 
agents in the realistic open-ended multi-agent embodied
          environments.  </p> <br> <p>
For examples of environments, check out  <a href="https://sotopia.world">Sotopia</a> and  <a href="https://webarena.dev">WebArena</a>. We recently studied
          how to build real-time agents: <a href="https://realtimegym.saltlab.stanford.edu">Real-time gym</a>. For examples of
          methods for training agents in these environments, check out  <a href="https://pi.sotopia.world">Sotopia-π</a> and  <a href="https://nnetnav.dev">NNetNav-live</a>. Lately,  <a href="https://egonormia.org">EgoNormia</a> benchmarked 
the preparedness of frontier models for embodied interactions with
          humans.  <a href="https://autolibra.opensocial.world">AutoLibra</a> 
allows agents to develop self-regulation metrics from human
          open-ended feedback.
</p> <br> <p>
My research is built along three major dimensions for agents: the
          behavior of agents, e.g. like a computer, a robot, or a simulated
          human; the cognition of agents, e.g. reasoning about humans, other
          agents, or time and space; and the learning of agents, e.g.
          through exploration, environment feedback, or human feed

Found 2026-01-09 by HttpPlugin

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Open service 104.21.37.150:443 · hao.computer

2026-01-02 00:59

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Page title: Hao Zhu

<!DOCTYPE html><html lang="en" class="dark"> <head><meta charset="UTF-8"><meta name="description" content="AI Researcher at Stanford University. His work laid foundation on language agent research, and now he is interested in Human-Agent Interaction."><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><title>Hao Zhu</title><script type="module">localStorage.getItem("theme")==="light"||!localStorage.getItem("theme")&&window.matchMedia("(prefers-color-scheme: light)").matches?document.documentElement.classList.remove("dark"):document.documentElement.classList.add("dark");</script><link rel="stylesheet" href="/_astro/blog.C5XUtT1s.css"></head> <body> <div id="app">  <div class="min-h-screen bg-background"> <div class="w-[28rem] md:w-[36rem] lg:w-[40rem] xl:w-[44rem] grid grid-cols-2 md:grid-cols-8 gap-x-4 md:gap-x-8 lg:gap-x-12 xl:gap-x-16 gap-y-8 mx-auto px-4 py-8"> <!-- Static Header Section --> <h1 class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group"> <p class="text-2xl"> Hao Zhu </p> <p class="text-lg font-extralight -translate-y-1"> he/him/他 </p> <p class="hidden group-hover:block text-lg">朱昊</p> <p class="text-sm">Postdoctoral</p> <p class="text-sm">Stanford University</p> <p class="text-sm"><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="562c3e233e373916252237383039243278333223">[email&#160;protected]</a></p> <p class="text-sm italic">
AI, Cooperation, Language, CogSci, Robotics.
</p> </h1> <div class="col-span-2 md:col-span-6"> <img class="Image rounded-xl shadow-xl hover:shadow-2xl hover:-translate-y-0.5 relative transition-shadow duration-200 dark:shadow-gray-500 w-full h-auto" src="/portrait-landscape.jpg" alt="Hao Zhu at Boston"> </div> <!-- Me Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="me">
Me
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <span>I am a researcher with a focus on creating </span> <span class="hover:underline" title="in the virtual and real worlds">AI agents</span>  that learn to  <span class="hover:underline" title="using language and anything else">communicate</span>  and  <span class="hover:underline" title="under mixed objectives">cooperate</span>  with humans, or <b>Human-Agent Interaction</b>.
</div> </div> <!-- Research Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="my-research">
My Research
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <p>
I take an interactionist approach. This means the priority of my
          research is to  <span class="italic hover:underline" title="aka train and evaluate">bring up</span> 
agents in the realistic open-ended multi-agent embodied
          environments.  </p> <br> <p>
For examples of environments, check out  <a href="https://sotopia.world">Sotopia</a> and  <a href="https://webarena.dev">WebArena</a>. We recently studied
          how to build real-time agents: <a href="https://realtimegym.saltlab.stanford.edu">Real-time gym</a>. For examples of
          methods for training agents in these environments, check out  <a href="https://pi.sotopia.world">Sotopia-π</a> and  <a href="https://nnetnav.dev">NNetNav-live</a>. Lately,  <a href="https://egonormia.org">EgoNormia</a> benchmarked 
the preparedness of frontier models for embodied interactions with
          humans.  <a href="https://autolibra.opensocial.world">AutoLibra</a> 
allows agents to develop self-regulation metrics from human
          open-ended feedback.
</p> <br> <p>
My research is built along three major dimensions for agents: the
          behavior of agents, e.g. like a computer, a robot, or a simulated
          human; the cognition of agents, e.g. reasoning about humans, other
          agents, or time and space; and the learning of agents, e.g.
          through exploration, environment feedback, or human feed

Found 2026-01-02 by HttpPlugin

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Open service 104.21.37.150:443 · hao.computer

2025-12-30 08:38

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Page title: Hao Zhu

<!DOCTYPE html><html lang="en" class="dark"> <head><meta charset="UTF-8"><meta name="description" content="AI Researcher at Stanford University. His work laid foundation on language agent research, and now he is interested in Human-Agent Interaction."><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><title>Hao Zhu</title><script type="module">localStorage.getItem("theme")==="light"||!localStorage.getItem("theme")&&window.matchMedia("(prefers-color-scheme: light)").matches?document.documentElement.classList.remove("dark"):document.documentElement.classList.add("dark");</script><link rel="stylesheet" href="/_astro/blog.C5XUtT1s.css"></head> <body> <div id="app">  <div class="min-h-screen bg-background"> <div class="w-[28rem] md:w-[36rem] lg:w-[40rem] xl:w-[44rem] grid grid-cols-2 md:grid-cols-8 gap-x-4 md:gap-x-8 lg:gap-x-12 xl:gap-x-16 gap-y-8 mx-auto px-4 py-8"> <!-- Static Header Section --> <h1 class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group"> <p class="text-2xl"> Hao Zhu </p> <p class="text-lg font-extralight -translate-y-1"> he/him/他 </p> <p class="hidden group-hover:block text-lg">朱昊</p> <p class="text-sm">Postdoctoral</p> <p class="text-sm">Stanford University</p> <p class="text-sm"><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="02786a776a636d427176636c646d70662c676677">[email&#160;protected]</a></p> <p class="text-sm italic">
AI, Cooperation, Language, CogSci, Robotics.
</p> </h1> <div class="col-span-2 md:col-span-6"> <img class="Image rounded-xl shadow-xl hover:shadow-2xl hover:-translate-y-0.5 relative transition-shadow duration-200 dark:shadow-gray-500 w-full h-auto" src="/portrait-landscape.jpg" alt="Hao Zhu at Boston"> </div> <!-- Me Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="me">
Me
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <span>I am a researcher with a focus on creating </span> <span class="hover:underline" title="in the virtual and real worlds">AI agents</span>  that learn to  <span class="hover:underline" title="using language and anything else">communicate</span>  and  <span class="hover:underline" title="under mixed objectives">cooperate</span>  with humans, or <b>Human-Agent Interaction</b>.
</div> </div> <!-- Research Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="my-research">
My Research
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <p>
I take an interactionist approach. This means the priority of my
          research is to  <span class="italic hover:underline" title="aka train and evaluate">bring up</span> 
agents in the realistic open-ended multi-agent embodied
          environments.  </p> <br> <p>
For examples of environments, check out  <a href="https://sotopia.world">Sotopia</a> and  <a href="https://webarena.dev">WebArena</a>. We recently studied
          how to build real-time agents: <a href="https://realtimegym.saltlab.stanford.edu">Real-time gym</a>. For examples of
          methods for training agents in these environments, check out  <a href="https://pi.sotopia.world">Sotopia-π</a> and  <a href="https://nnetnav.dev">NNetNav-live</a>. Lately,  <a href="https://egonormia.org">EgoNormia</a> benchmarked 
the preparedness of frontier models for embodied interactions with
          humans.  <a href="https://autolibra.opensocial.world">AutoLibra</a> 
allows agents to develop self-regulation metrics from human
          open-ended feedback.
</p> <br> <p>
My research is built along three major dimensions for agents: the
          behavior of agents, e.g. like a computer, a robot, or a simulated
          human; the cognition of agents, e.g. reasoning about humans, other
          agents, or time and space; and the learning of agents, e.g.
          through exploration, environment feedback, or human feed

Found 2025-12-30 by HttpPlugin

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Open service 104.21.37.150:443 · hao.computer

2025-12-22 09:09

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Page title: Hao Zhu

<!DOCTYPE html><html lang="en" class="dark"> <head><meta charset="UTF-8"><meta name="description" content="AI Researcher at Stanford University. His work laid foundation on language agent research, and now he is interested in Human-Agent Interaction."><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><title>Hao Zhu</title><script type="module">localStorage.getItem("theme")==="light"||!localStorage.getItem("theme")&&window.matchMedia("(prefers-color-scheme: light)").matches?document.documentElement.classList.remove("dark"):document.documentElement.classList.add("dark");</script><link rel="stylesheet" href="/_astro/blog.C5XUtT1s.css"></head> <body> <div id="app">  <div class="min-h-screen bg-background"> <div class="w-[28rem] md:w-[36rem] lg:w-[40rem] xl:w-[44rem] grid grid-cols-2 md:grid-cols-8 gap-x-4 md:gap-x-8 lg:gap-x-12 xl:gap-x-16 gap-y-8 mx-auto px-4 py-8"> <!-- Static Header Section --> <h1 class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group"> <p class="text-2xl"> Hao Zhu </p> <p class="text-lg font-extralight -translate-y-1"> he/him/他 </p> <p class="hidden group-hover:block text-lg">朱昊</p> <p class="text-sm">Postdoctoral</p> <p class="text-sm">Stanford University</p> <p class="text-sm"><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="2953415c414846695a5d48474f465b4d074c4d5c">[email&#160;protected]</a></p> <p class="text-sm italic">
AI, Cooperation, Language, CogSci, Robotics.
</p> </h1> <div class="col-span-2 md:col-span-6"> <img class="Image rounded-xl shadow-xl hover:shadow-2xl hover:-translate-y-0.5 relative transition-shadow duration-200 dark:shadow-gray-500 w-full h-auto" src="/portrait-landscape.jpg" alt="Hao Zhu at Boston"> </div> <!-- Me Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="me">
Me
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <span>I am a researcher with a focus on creating </span> <span class="hover:underline" title="in the virtual and real worlds">AI agents</span>  that learn to  <span class="hover:underline" title="using language and anything else">communicate</span>  and  <span class="hover:underline" title="under mixed objectives">cooperate</span>  with humans, or <b>Human-Agent Interaction</b>.
</div> </div> <!-- Research Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="my-research">
My Research
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <p>
I take an interactionist approach. This means the priority of my
          research is to  <span class="italic hover:underline" title="aka train and evaluate">bring up</span> 
agents in the realistic open-ended multi-agent embodied
          environments.  </p> <br> <p>
For examples of environments, check out  <a href="https://sotopia.world">Sotopia</a> and  <a href="https://webarena.dev">WebArena</a>. We recently studied
          how to build real-time agents: <a href="https://realtimegym.saltlab.stanford.edu">Real-time gym</a>. For examples of
          methods for training agents in these environments, check out  <a href="https://pi.sotopia.world">Sotopia-π</a> and  <a href="https://nnetnav.dev">NNetNav-live</a>. Lately,  <a href="https://egonormia.org">EgoNormia</a> benchmarked 
the preparedness of frontier models for embodied interactions with
          humans.  <a href="https://autolibra.opensocial.world">AutoLibra</a> 
allows agents to develop self-regulation metrics from human
          open-ended feedback.
</p> <br> <p>
My research is built along three major dimensions for agents: the
          behavior of agents, e.g. like a computer, a robot, or a simulated
          human; the cognition of agents, e.g. reasoning about humans, other
          agents, or time and space; and the learning of agents, e.g.
          through exploration, environment feedback, or human feed

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Page title: Hao Zhu

<!DOCTYPE html><html lang="en" class="dark"> <head><meta charset="UTF-8"><meta name="description" content="AI Researcher at Stanford University. His work laid foundation on language agent research, and now he is interested in Human-Agent Interaction."><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><title>Hao Zhu</title><script type="module">localStorage.getItem("theme")==="light"||!localStorage.getItem("theme")&&window.matchMedia("(prefers-color-scheme: light)").matches?document.documentElement.classList.remove("dark"):document.documentElement.classList.add("dark");</script><link rel="stylesheet" href="/_astro/blog.C5XUtT1s.css"></head> <body> <div id="app">  <div class="min-h-screen bg-background"> <div class="w-[28rem] md:w-[36rem] lg:w-[40rem] xl:w-[44rem] grid grid-cols-2 md:grid-cols-8 gap-x-4 md:gap-x-8 lg:gap-x-12 xl:gap-x-16 gap-y-8 mx-auto px-4 py-8"> <!-- Static Header Section --> <h1 class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group"> <p class="text-2xl"> Hao Zhu </p> <p class="text-lg font-extralight -translate-y-1"> he/him/他 </p> <p class="hidden group-hover:block text-lg">朱昊</p> <p class="text-sm">Postdoctoral</p> <p class="text-sm">Stanford University</p> <p class="text-sm"><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="ea90829f828b85aa999e8b848c85988ec48f8e9f">[email&#160;protected]</a></p> <p class="text-sm italic">
AI, Cooperation, Language, CogSci, Robotics.
</p> </h1> <div class="col-span-2 md:col-span-6"> <img class="Image rounded-xl shadow-xl hover:shadow-2xl hover:-translate-y-0.5 relative transition-shadow duration-200 dark:shadow-gray-500 w-full h-auto" src="/portrait-landscape.jpg" alt="Hao Zhu at Boston"> </div> <!-- Me Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="me">
Me
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <span>I am a researcher with a focus on creating </span> <span class="hover:underline" title="in the virtual and real worlds">AI agents</span>  that learn to  <span class="hover:underline" title="using language and anything else">communicate</span>  and  <span class="hover:underline" title="under mixed objectives">cooperate</span>  with humans, or <b>Human-Agent Interaction</b>.
</div> </div> <!-- Research Section --> <div class="col-span-2 pt-8 font-slim text-black dark:text-white md:pt-0 md:text-left md:font-normal group" id="my-research">
My Research
</div> <div class="col-span-2 md:col-span-6"> <div class="prose text-primary"> <p>
I take an interactionist approach. This means the priority of my
          research is to  <span class="italic hover:underline" title="aka train and evaluate">bring up</span> 
agents in the realistic open-ended multi-agent embodied
          environments.  </p> <br> <p>
For examples of environments, check out  <a href="https://sotopia.world">Sotopia</a> and  <a href="https://webarena.dev">WebArena</a>. We recently studied
          how to build real-time agents: <a href="https://realtimegym.saltlab.stanford.edu">Real-time gym</a>. For examples of
          methods for training agents in these environments, check out  <a href="https://pi.sotopia.world">Sotopia-π</a> and  <a href="https://nnetnav.dev">NNetNav-live</a>. Lately,  <a href="https://egonormia.org">EgoNormia</a> benchmarked 
the preparedness of frontier models for embodied interactions with
          humans.  <a href="https://autolibra.opensocial.world">AutoLibra</a> 
allows agents to develop self-regulation metrics from human
          open-ended feedback.
</p> <br> <p>
My research is built along three major dimensions for agents: the
          behavior of agents, e.g. like a computer, a robot, or a simulated
          human; the cognition of agents, e.g. reasoning about humans, other
          agents, or time and space; and the learning of agents, e.g.
          through exploration, environment feedback, or human feed

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