import{s as wt,n as Mt,o as jt}from"../chunks/scheduler.eb244325.js";import{S as It,i as ft,e as p,s as l,c as o,h as dt,a as i,d as n,b as e,f as yt,g as u,j as m,k as Ns,l as Ut,m as a,n as c,t as r,o as J,p as T}from"../chunks/index.3fe63ad3.js";import{C as $t}from"../chunks/CopyLLMTxtMenu.08242e11.js";import{C as w}from"../chunks/CodeBlock.91baa5b4.js";import{H as h,E as Ct}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.234c3f85.js";function gt(Ds){let y,ps,ls,is,j,os,I,us,f,Fs="This guide explains how to use the <code>gym_hil</code> simulation environments as an alternative to real robots when working with the LeRobot framework for Human-In-the-Loop (HIL) reinforcement learning.",cs,d,Os="<code>gym_hil</code> is a package that provides Gymnasium-compatible simulation environments specifically designed for Human-In-the-Loop reinforcement learning. These environments allow you to:",rs,U,Ks="<li><p>Train policies in simulation to test the RL stack before training on real robots</p></li> <li><p>Collect demonstrations in sim using external devices like gamepads or keyboards</p></li> <li><p>Perform human interventions during policy learning</p></li>",Js,$,st="Currently, the main environment is a Franka Panda robot simulation based on MuJoCo, with tasks like picking up a cube.",Ts,C,ms,g,tt="First, install the <code>gym_hil</code> package within the LeRobot environment:",hs,b,ys,v,ws,B,nt="<li>A gamepad or keyboard to control the robot</li> <li>A Nvidia GPU</li>",Ms,q,js,_,at='To use <code>gym_hil</code> with LeRobot, you need to create a configuration file. An example is provided <a href="https://huggingface.co/datasets/lerobot/config_examples/resolve/main/rl/gym_hil/env_config.json" rel="nofollow">here</a>. Key configuration sections include:',Is,L,fs,k,ds,x,lt="Available tasks:",Us,H,et="<li><code>PandaPickCubeBase-v0</code>: Basic environment</li> <li><code>PandaPickCubeGamepad-v0</code>: With gamepad control</li> <li><code>PandaPickCubeKeyboard-v0</code>: With keyboard control</li>",$s,G,Cs,Q,gs,W,pt="Important parameters:",bs,X,it="<li><code>gripper.gripper_penalty</code>: Penalty for excessive gripper movement</li> <li><code>gripper.use_gripper</code>: Whether to enable gripper control</li> <li><code>inverse_kinematics.end_effector_step_sizes</code>: Size of the steps in the x,y,z axes of the end-effector</li> <li><code>control_mode</code>: Set to <code>&quot;gamepad&quot;</code> to use a gamepad controller</li>",vs,R,Bs,Z,qs,S,ot="To run the environment, set mode to null:",_s,E,Ls,A,ks,Y,ut="To collect a dataset, set the mode to <code>record</code> whilst defining the repo_id and number of episodes to record:",xs,V,Hs,z,Gs,P,Qs,N,ct='To train a policy, checkout the configuration example available <a href="https://huggingface.co/datasets/lerobot/config_examples/resolve/main/rl/gym_hil/train_config.json" rel="nofollow">here</a> and run the actor and learner servers:',Ws,D,Xs,F,rt="In a different terminal, run the learner server:",Rs,O,Zs,K,Jt="The simulation environment provides a safe and repeatable way to develop and test your Human-In-the-Loop reinforcement learning components before deploying to real robots.",Ss,ss,Tt="Congrats 🎉, you have finished this tutorial!",Es,M,mt='<p>If you have any questions or need help, please reach out on <a href="https://discord.com/invite/s3KuuzsPFb" rel="nofollow">Discord</a>.</p>',As,ts,ht="Paper citation:",Ys,ns,Vs,as,zs,es,Ps;return j=new $t({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),I=new h({props:{title:"Train RL in Simulation",local:"train-rl-in-simulation",headingTag:"h1"}}),C=new h({props:{title:"Installation",local:"installation",headingTag:"h2"}}),b=new w({props:{code:"cGlwJTIwaW5zdGFsbCUyMC1lJTIwJTIyLiU1QmhpbHNlcmwlNUQlMjI=",highlighted:'pip install -e <span class="hljs-string">&quot;.[hilserl]&quot;</span>',wrap:!1}}),v=new h({props:{title:"What do I need?",local:"what-do-i-need",headingTag:"h2"}}),q=new h({props:{title:"Configuration",local:"configuration",headingTag:"h2"}}),L=new h({props:{title:"Environment Type and Task",local:"environment-type-and-task",headingTag:"h3"}}),k=new w({props:{code:"JTdCJTBBJTIwJTIwJTIyZW52JTIyJTNBJTIwJTdCJTBBJTIwJTIwJTIwJTIwJTIydHlwZSUyMiUzQSUyMCUyMmd5bV9tYW5pcHVsYXRvciUyMiUyQyUwQSUyMCUyMCUyMCUyMCUyMm5hbWUlMjIlM0ElMjAlMjJneW1faGlsJTIyJTJDJTBBJTIwJTIwJTIwJTIwJTIydGFzayUyMiUzQSUyMCUyMlBhbmRhUGlja0N1YmVHYW1lcGFkLXYwJTIyJTJDJTBBJTIwJTIwJTIwJTIwJTIyZnBzJTIyJTNBJTIwMTAlMEElMjAlMjAlN0QlMkMlMEElMjAlMjAlMjJkZXZpY2UlMjIlM0ElMjAlMjJjdWRhJTIyJTBBJTdE",highlighted:`<span class="hljs-punctuation">{</span>
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    <span class="hljs-attr">&quot;task&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;PandaPickCubeGamepad-v0&quot;</span><span class="hljs-punctuation">,</span>
    <span class="hljs-attr">&quot;fps&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">10</span>
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  <span class="hljs-attr">&quot;device&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;cuda&quot;</span>
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      <span class="hljs-attr">&quot;control_mode&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;gamepad&quot;</span><span class="hljs-punctuation">,</span>
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        <span class="hljs-attr">&quot;use_gripper&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-literal"><span class="hljs-keyword">true</span></span><span class="hljs-punctuation">,</span>
        <span class="hljs-attr">&quot;gripper_penalty&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">-0.02</span>
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      <span class="hljs-attr">&quot;reset&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">{</span>
        <span class="hljs-attr">&quot;control_time_s&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">15.0</span><span class="hljs-punctuation">,</span>
        <span class="hljs-attr">&quot;fixed_reset_joint_positions&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">[</span>
          <span class="hljs-number">0.0</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0.195</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0.0</span><span class="hljs-punctuation">,</span> <span class="hljs-number">-2.43</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0.0</span><span class="hljs-punctuation">,</span> <span class="hljs-number">2.62</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0.785</span>
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      <span class="hljs-punctuation">}</span><span class="hljs-punctuation">,</span>
      <span class="hljs-attr">&quot;inverse_kinematics&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">{</span>
        <span class="hljs-attr">&quot;end_effector_step_sizes&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">{</span>
          <span class="hljs-attr">&quot;x&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">0.025</span><span class="hljs-punctuation">,</span>
          <span class="hljs-attr">&quot;y&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">0.025</span><span class="hljs-punctuation">,</span>
          <span class="hljs-attr">&quot;z&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">0.025</span>
        <span class="hljs-punctuation">}</span>
      <span class="hljs-punctuation">}</span>
    <span class="hljs-punctuation">}</span>
  <span class="hljs-punctuation">}</span>
<span class="hljs-punctuation">}</span>`,wrap:!1}}),R=new h({props:{title:"Running with HIL RL of LeRobot",local:"running-with-hil-rl-of-lerobot",headingTag:"h2"}}),Z=new h({props:{title:"Basic Usage",local:"basic-usage",headingTag:"h3"}}),E=new w({props:{code:"cHl0aG9uJTIwLW0lMjBsZXJvYm90LnJsLmd5bV9tYW5pcHVsYXRvciUyMC0tY29uZmlnX3BhdGglMjBwYXRoJTJGdG8lMkZneW1faGlsX2Vudi5qc29u",highlighted:"python -m lerobot.rl.gym_manipulator --config_path path/to/gym_hil_env.json",wrap:!1}}),A=new h({props:{title:"Recording a Dataset",local:"recording-a-dataset",headingTag:"h3"}}),V=new w({props:{code:"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",highlighted:`<span class="hljs-punctuation">{</span>
  <span class="hljs-attr">&quot;env&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">{</span>
    <span class="hljs-attr">&quot;type&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;gym_manipulator&quot;</span><span class="hljs-punctuation">,</span>
    <span class="hljs-attr">&quot;name&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;gym_hil&quot;</span><span class="hljs-punctuation">,</span>
    <span class="hljs-attr">&quot;task&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;PandaPickCubeGamepad-v0&quot;</span>
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  <span class="hljs-attr">&quot;dataset&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">{</span>
    <span class="hljs-attr">&quot;repo_id&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;username/sim_dataset&quot;</span><span class="hljs-punctuation">,</span>
    <span class="hljs-attr">&quot;root&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-literal"><span class="hljs-keyword">null</span></span><span class="hljs-punctuation">,</span>
    <span class="hljs-attr">&quot;task&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;pick_cube&quot;</span><span class="hljs-punctuation">,</span>
    <span class="hljs-attr">&quot;num_episodes_to_record&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">10</span><span class="hljs-punctuation">,</span>
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    <span class="hljs-attr">&quot;push_to_hub&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-literal"><span class="hljs-keyword">true</span></span>
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  <span class="hljs-attr">&quot;mode&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;record&quot;</span>
<span class="hljs-punctuation">}</span>`,wrap:!1}}),z=new w({props:{code:"cHl0aG9uJTIwLW0lMjBsZXJvYm90LnJsLmd5bV9tYW5pcHVsYXRvciUyMC0tY29uZmlnX3BhdGglMjBwYXRoJTJGdG8lMkZneW1faGlsX2Vudi5qc29u",highlighted:"python -m lerobot.rl.gym_manipulator --config_path path/to/gym_hil_env.json",wrap:!1}}),P=new h({props:{title:"Training a Policy",local:"training-a-policy",headingTag:"h3"}}),D=new w({props:{code:"cHl0aG9uJTIwLW0lMjBsZXJvYm90LnJsLmFjdG9yJTIwLS1jb25maWdfcGF0aCUyMHBhdGglMkZ0byUyRnRyYWluX2d5bV9oaWxfZW52Lmpzb24=",highlighted:"python -m lerobot.rl.actor --config_path path/to/train_gym_hil_env.json",wrap:!1}}),O=new w({props:{code:"cHl0aG9uJTIwLW0lMjBsZXJvYm90LnJsLmxlYXJuZXIlMjAtLWNvbmZpZ19wYXRoJTIwcGF0aCUyRnRvJTJGdHJhaW5fZ3ltX2hpbF9lbnYuanNvbg==",highlighted:"python -m lerobot.rl.learner --config_path path/to/train_gym_hil_env.json",wrap:!1}}),ns=new w({props:{code:"JTQwYXJ0aWNsZSU3Qmx1bzIwMjRwcmVjaXNlJTJDJTBBJTIwJTIwdGl0bGUlM0QlN0JQcmVjaXNlJTIwYW5kJTIwRGV4dGVyb3VzJTIwUm9ib3RpYyUyME1hbmlwdWxhdGlvbiUyMHZpYSUyMEh1bWFuLWluLXRoZS1Mb29wJTIwUmVpbmZvcmNlbWVudCUyMExlYXJuaW5nJTdEJTJDJTBBJTIwJTIwYXV0aG9yJTNEJTdCTHVvJTJDJTIwSmlhbmxhbiUyMGFuZCUyMFh1JTJDJTIwQ2hhcmxlcyUyMGFuZCUyMFd1JTJDJTIwSmVmZnJleSUyMGFuZCUyMExldmluZSUyQyUyMFNlcmdleSU3RCUyQyUwQSUyMCUyMGpvdXJuYWwlM0QlN0JhclhpdiUyMHByZXByaW50JTIwYXJYaXYlM0EyNDEwLjIxODQ1JTdEJTJDJTBBJTIwJTIweWVhciUzRCU3QjIwMjQlN0QlMEElN0Q=",highlighted:`@article{luo2024precise,
  title={Precise <span class="hljs-keyword">and </span>Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning},
  author={Luo, <span class="hljs-keyword">Jianlan </span><span class="hljs-keyword">and </span>Xu, Charles <span class="hljs-keyword">and </span>Wu, <span class="hljs-keyword">Jeffrey </span><span class="hljs-keyword">and </span>Levine, Sergey},
  <span class="hljs-keyword">journal={arXiv </span>preprint arXiv:<span class="hljs-number">2410</span>.<span class="hljs-number">21845</span>},
  year={<span class="hljs-number">2024</span>}
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