openenv/pr_847/en/_app/immutable/nodes/30.fc0c4e04.js

import{s as wt,n as Jt,o as Tt}from"../chunks/scheduler.2b22cead.js";import{S as Ut,i as ft,e as c,s,c as i,h as jt,a as u,d as t,b as a,f as dt,g as p,j as y,k as yt,l as ht,m as n,n as m,t as r,o as M,p as o}from"../chunks/index.1a0e8013.js";import{C as bt,H as d,E as $t}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.e853488c.js";import{C as w}from"../chunks/CodeBlock.c9342566.js";function Ct(_l){let J,Ze,Ie,Be,T,xe,U,Qe,f,zl='A multi-agent snake game environment for OpenEnv, based on <a href="https://github.com/kc-ml2/marlenv" rel="nofollow">marlenv</a>’s Snake-v1. This environment provides a single-agent interface to the classic snake game where the snake must navigate a grid, eat fruits, and avoid walls and its own body.',We,j,Ae,h,Yl="The Snake environment wraps the marlenv Snake-v1 environment to provide a clean OpenEnv-compatible interface. Multiple snakes can battle on a fixed size grid map, but this implementation focuses on single-agent gameplay.",Se,b,Ge,$,Fl=`<li><strong>Grid-based gameplay</strong>: Configurable grid size (default: 20x20)</li> <li><strong>Fruit collection</strong>: Snake grows when eating fruits</li> <li><strong>Partial observability</strong>: Optional vision range for limited field of view</li> <li><strong>Customizable rewards</strong>: Configurable reward function for different game aspects</li> <li><strong>Two control modes</strong>:
<ul><li><code>snake</code>: Relative actions (turn left/right)</li> <li><code>human</code>: Global directions (up/down/left/right)</li></ul></li>`,Ee,C,Ve,g,Ll="<li>Snake dies when its head hits a wall or its own body</li> <li>Snake grows by one unit when it eats a fruit</li> <li>Episode ends when the snake dies or reaches maximum steps</li> <li>Rewards can be customized for: eating fruits, survival time, and death penalty</li>",Ne,v,Re,I,Xe,k,_e,Z,ze,B,Ye,x,Hl="Then connect from another terminal:",Fe,Q,Le,W,He,A,Dl="The action space depends on the <code>observer</code> mode:",De,S,qe,G,ql="Relative actions based on current direction:",Pe,E,Pl="<li><code>0</code>: No-op (continue in same direction)</li> <li><code>1</code>: Turn left (90 degrees counterclockwise)</li> <li><code>2</code>: Turn right (90 degrees clockwise)</li>",Ke,V,Oe,N,Kl="Global directional actions:",el,R,Ol="<li><code>0</code>: No-op</li> <li><code>1</code>: Move left</li> <li><code>2</code>: Move right</li> <li><code>3</code>: Move down</li> <li><code>4</code>: Move up</li>",ll,X,tl,_,et="Each observation includes:",nl,z,lt="<li><code>grid</code>: The full game grid as a 2D array (height × width)</li> <li><code>observation</code>: Encoded observation based on vision range</li> <li><code>episode_score</code>: Cumulative score in current episode</li> <li><code>episode_steps</code>: Number of steps taken</li> <li><code>episode_fruits</code>: Number of fruits eaten</li> <li><code>episode_kills</code>: Number of kills (always 0 in single-agent mode)</li> <li><code>alive</code>: Whether the snake is still alive</li>",sl,Y,al,F,il,L,pl,H,ml,D,tt="You can customize the reward function to encourage different behaviors:",rl,q,Ml,P,ol,K,cl,O,nt="From the repository root:",ul,ee,dl,le,st="The Dockerfile uses <code>pip install</code> with <code>requirements.txt</code> for maximum compatibility.",yl,te,wl,ne,Jl,se,Tl,ae,at="When <code>ENABLE_WEB_INTERFACE=true</code> is set, you can access the web interface at <code>http://localhost:8000/web</code> to interact with the environment through your browser.",Ul,ie,fl,pe,it="The snake environment requires:",jl,me,pt="<li><code>marlenv</code>: Multi-agent snake game implementation</li> <li><code>gym==0.24.1</code>: OpenAI Gym (required by marlenv)</li> <li><code>numpy</code>: Numerical operations</li> <li>Standard OpenEnv dependencies (fastapi, pydantic, uvicorn)</li>",hl,re,mt="These are automatically installed when using Docker or installing via pip.",bl,Me,$l,oe,Cl,ce,gl,ue,vl,de,rt="If you encounter issues installing marlenv, you can install it from source:",Il,ye,kl,we,Zl,Je,Mt="Make sure you’re in the correct directory when running the server:",Bl,Te,xl,Ue,Ql,fe,ot="Ensure the base image is built first:",Wl,je,Al,he,Sl,be,ct="The underlying snake game is from marlenv:",Gl,$e,El,Ce,Vl,ge,ut="BSD 3-Clause License - See LICENSE file in the root directory.",Nl,ve,Rl,ke,Xl;return T=new bt({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),U=new d({props:{title:"Snake Environment",local:"snake-environment",headingTag:"h1"}}),j=new d({props:{title:"Overview",local:"overview",headingTag:"h2"}}),b=new d({props:{title:"Features",local:"features",headingTag:"h3"}}),C=new d({props:{title:"Game Rules",local:"game-rules",headingTag:"h3"}}),v=new d({props:{title:"Quick Start",local:"quick-start",headingTag:"h2"}}),I=new d({props:{title:"Using Docker (Recommended)",local:"using-docker-recommended",headingTag:"h3"}}),k=new w({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.snake_env <span class="hljs-keyword">import</span> SnakeAction, SnakeEnv

<span class="hljs-comment"># Start environment from Docker image</span>
client = SnakeEnv.from_docker_image(<span class="hljs-string">&quot;snake-env:latest&quot;</span>)

<span class="hljs-comment"># Reset to start new episode</span>
result = client.reset()
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Snake alive: <span class="hljs-subst">{result.observation.alive}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Grid shape: <span class="hljs-subst">{<span class="hljs-built_in">len</span>(result.observation.grid)}</span>x<span class="hljs-subst">{<span class="hljs-built_in">len</span>(result.observation.grid[<span class="hljs-number">0</span>])}</span>&quot;</span>)

<span class="hljs-comment"># Take actions</span>
result = client.step(SnakeAction(action=<span class="hljs-number">0</span>))  <span class="hljs-comment"># Continue straight</span>
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Reward: <span class="hljs-subst">{result.reward}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Score: <span class="hljs-subst">{result.observation.episode_score}</span>&quot;</span>)

result = client.step(SnakeAction(action=<span class="hljs-number">1</span>))  <span class="hljs-comment"># Turn left</span>
result = client.step(SnakeAction(action=<span class="hljs-number">2</span>))  <span class="hljs-comment"># Turn right</span>

<span class="hljs-comment"># Check game state</span>
state = client.state()
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Episode: <span class="hljs-subst">{state.episode_id}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Steps: <span class="hljs-subst">{state.step_count}</span>&quot;</span>)

<span class="hljs-comment"># Cleanup</span>
client.close()`,lang:"python",wrap:!1}}),Z=new d({props:{title:"Using Local Server",local:"using-local-server",headingTag:"h3"}}),B=new w({props:{code:"JTIzJTIwSW5zdGFsbCUyMGRlcGVuZGVuY2llcyUwQWNkJTIwc3JjJTJGZW52cyUyRnNuYWtlX2VudiUwQXBpcCUyMGluc3RhbGwlMjAtZSUyMC4lMEElMEElMjMlMjBSdW4lMjBzZXJ2ZXIlMEF1diUyMHJ1biUyMC0tcHJvamVjdCUyMC4lMjBzZXJ2ZXI=",highlighted:`<span class="hljs-comment"># Install dependencies</span>
<span class="hljs-built_in">cd</span> src/envs/snake_env
pip install -e .

<span class="hljs-comment"># Run server</span>
uv run --project . server`,lang:"bash",wrap:!1}}),Q=new w({props:{code:"ZnJvbSUyMGVudnMuc25ha2VfZW52JTIwaW1wb3J0JTIwU25ha2VBY3Rpb24lMkMlMjBTbmFrZUVudiUwQSUwQSUyMyUyMENvbm5lY3QlMjB0byUyMHJ1bm5pbmclMjBzZXJ2ZXIlMEFjbGllbnQlMjAlM0QlMjBTbmFrZUVudihiYXNlX3VybCUzRCUyMmh0dHAlM0ElMkYlMkZsb2NhbGhvc3QlM0E4MDAwJTIyKSUwQXJlc3VsdCUyMCUzRCUyMGNsaWVudC5yZXNldCgpJTBBcmVzdWx0JTIwJTNEJTIwY2xpZW50LnN0ZXAoU25ha2VBY3Rpb24oYWN0aW9uJTNEMCkp",highlighted:`<span class="hljs-keyword">from</span> envs.snake_env <span class="hljs-keyword">import</span> SnakeAction, SnakeEnv

<span class="hljs-comment"># Connect to running server</span>
client = SnakeEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)
result = client.reset()
result = client.step(SnakeAction(action=<span class="hljs-number">0</span>))`,lang:"python",wrap:!1}}),W=new d({props:{title:"Actions",local:"actions",headingTag:"h2"}}),S=new d({props:{title:"Snake Mode (Default)",local:"snake-mode-default",headingTag:"h3"}}),V=new d({props:{title:"Human Mode",local:"human-mode",headingTag:"h3"}}),X=new d({props:{title:"Observations",local:"observations",headingTag:"h2"}}),Y=new d({props:{title:"Configuration",local:"configuration",headingTag:"h2"}}),F=new d({props:{title:"Environment Parameters",local:"environment-parameters",headingTag:"h3"}}),L=new w({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.snake_env.server.snake_environment <span class="hljs-keyword">import</span> SnakeEnvironment

env = SnakeEnvironment(
    height=<span class="hljs-number">20</span>,           <span class="hljs-comment"># Grid height (default: 20)</span>
    width=<span class="hljs-number">20</span>,            <span class="hljs-comment"># Grid width (default: 20)</span>
    snake_length=<span class="hljs-number">3</span>,      <span class="hljs-comment"># Initial snake length (default: 3)</span>
    vision_range=<span class="hljs-number">5</span>,      <span class="hljs-comment"># Partial observability (None for full grid)</span>
    observer=<span class="hljs-string">&#x27;snake&#x27;</span>,    <span class="hljs-comment"># &#x27;snake&#x27; or &#x27;human&#x27; mode</span>
    max_episode_steps=<span class="hljs-number">1000</span>,  <span class="hljs-comment"># Maximum steps per episode</span>
    reward_dict={        <span class="hljs-comment"># Custom reward function</span>
        <span class="hljs-string">&#x27;fruit&#x27;</span>: <span class="hljs-number">1.0</span>,    <span class="hljs-comment"># Reward for eating fruit</span>
        <span class="hljs-string">&#x27;kill&#x27;</span>: <span class="hljs-number">0.0</span>,     <span class="hljs-comment"># Reward for kills (multi-agent)</span>
        <span class="hljs-string">&#x27;lose&#x27;</span>: -<span class="hljs-number">1.0</span>,    <span class="hljs-comment"># Penalty for death</span>
        <span class="hljs-string">&#x27;win&#x27;</span>: <span class="hljs-number">0.0</span>,      <span class="hljs-comment"># Reward for winning (multi-agent)</span>
        <span class="hljs-string">&#x27;time&#x27;</span>: <span class="hljs-number">0.0</span>,     <span class="hljs-comment"># Reward per timestep</span>
    }
)`,lang:"python",wrap:!1}}),H=new d({props:{title:"Custom Rewards",local:"custom-rewards",headingTag:"h3"}}),q=new w({props:{code:"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",highlighted:`<span class="hljs-comment"># Encourage survival</span>
reward_dict = {
    <span class="hljs-string">&#x27;fruit&#x27;</span>: <span class="hljs-number">1.0</span>,
    <span class="hljs-string">&#x27;lose&#x27;</span>: -<span class="hljs-number">10.0</span>,
    <span class="hljs-string">&#x27;time&#x27;</span>: <span class="hljs-number">0.01</span>,  <span class="hljs-comment"># Small reward for staying alive</span>
}

<span class="hljs-comment"># Fast fruit collection</span>
reward_dict = {
    <span class="hljs-string">&#x27;fruit&#x27;</span>: <span class="hljs-number">10.0</span>,
    <span class="hljs-string">&#x27;lose&#x27;</span>: -<span class="hljs-number">1.0</span>,
    <span class="hljs-string">&#x27;time&#x27;</span>: -<span class="hljs-number">0.01</span>,  <span class="hljs-comment"># Penalty for taking too long</span>
}`,lang:"python",wrap:!1}}),P=new d({props:{title:"Building and Deployment",local:"building-and-deployment",headingTag:"h2"}}),K=new d({props:{title:"Build Docker Image",local:"build-docker-image",headingTag:"h3"}}),ee=new w({props:{code:"JTIzJTIwQnVpbGQlMjBiYXNlJTIwaW1hZ2UlMjBmaXJzdCUyMChpZiUyMG5vdCUyMGFscmVhZHklMjBidWlsdCklMEFkb2NrZXIlMjBidWlsZCUyMC10JTIwb3BlbmVudi1iYXNlJTNBbGF0ZXN0JTIwLWYlMjBzcmMlMkZvcGVuZW52JTJGY29yZSUyRmNvbnRhaW5lcnMlMkZpbWFnZXMlMkZEb2NrZXJmaWxlJTIwLiUwQSUwQSUyMyUyMEJ1aWxkJTIwc25ha2UlMjBlbnZpcm9ubWVudCUyMGltYWdlJTBBZG9ja2VyJTIwYnVpbGQlMjAtdCUyMHNuYWtlLWVudiUzQWxhdGVzdCUyMC1mJTIwZW52cyUyRnNuYWtlX2VudiUyRnNlcnZlciUyRkRvY2tlcmZpbGUlMjAu",highlighted:`<span class="hljs-comment"># Build base image first (if not already built)</span>
docker build -t openenv-base:latest -f src/openenv/core/containers/images/Dockerfile .

<span class="hljs-comment"># Build snake environment image</span>
docker build -t snake-env:latest -f envs/snake_env/server/Dockerfile .`,lang:"bash",wrap:!1}}),te=new d({props:{title:"Run Docker Container",local:"run-docker-container",headingTag:"h3"}}),ne=new w({props:{code:"JTIzJTIwUnVuJTIwdGhlJTIwY29udGFpbmVyJTBBZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMHNuYWtlLWVudiUzQWxhdGVzdCUwQSUwQSUyMyUyME9yJTIwd2l0aCUyMGVudmlyb25tZW50JTIwdmFyaWFibGVzJTBBZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMCU1QyUwQSUyMCUyMC1lJTIwRU5BQkxFX1dFQl9JTlRFUkZBQ0UlM0R0cnVlJTIwJTVDJTBBJTIwJTIwc25ha2UtZW52JTNBbGF0ZXN0",highlighted:`<span class="hljs-comment"># Run the container</span>
docker run -p 8000:8000 snake-env:latest

<span class="hljs-comment"># Or with environment variables</span>
docker run -p 8000:8000 \\
  -e ENABLE_WEB_INTERFACE=<span class="hljs-literal">true</span> \\
  snake-env:latest`,lang:"bash",wrap:!1}}),se=new d({props:{title:"Web Interface",local:"web-interface",headingTag:"h3"}}),ie=new d({props:{title:"Dependencies",local:"dependencies",headingTag:"h2"}}),Me=new d({props:{title:"Example Training Loop",local:"example-training-loop",headingTag:"h2"}}),oe=new w({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.snake_env <span class="hljs-keyword">import</span> SnakeAction, SnakeEnv
<span class="hljs-keyword">import</span> random

<span class="hljs-comment"># Connect to environment</span>
env = SnakeEnv.from_docker_image(<span class="hljs-string">&quot;snake-env:latest&quot;</span>)

<span class="hljs-comment"># Training loop</span>
<span class="hljs-keyword">for</span> episode <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">10</span>):
    result = env.reset()
    total_reward = <span class="hljs-number">0</span>
    done = <span class="hljs-literal">False</span>

    <span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> done:
        <span class="hljs-comment"># Simple random policy (replace with your agent)</span>
        action = SnakeAction(action=random.randint(<span class="hljs-number">0</span>, <span class="hljs-number">2</span>))
        result = env.step(action)

        total_reward += result.reward
        done = result.done

    <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Episode <span class="hljs-subst">{episode}</span>: Reward=<span class="hljs-subst">{total_reward}</span>, &quot;</span>
          <span class="hljs-string">f&quot;Fruits=<span class="hljs-subst">{result.observation.episode_fruits}</span>, &quot;</span>
          <span class="hljs-string">f&quot;Steps=<span class="hljs-subst">{result.observation.episode_steps}</span>&quot;</span>)

env.close()`,lang:"python",wrap:!1}}),ce=new d({props:{title:"Troubleshooting",local:"troubleshooting",headingTag:"h2"}}),ue=new d({props:{title:"marlenv Installation Issues",local:"marlenv-installation-issues",headingTag:"h3"}}),ye=new w({props:{code:"cGlwJTIwaW5zdGFsbCUyMGdpdCUyQmh0dHBzJTNBJTJGJTJGZ2l0aHViLmNvbSUyRmtjLW1sMiUyRm1hcmxlbnYuZ2l0",highlighted:"pip install git+https://github.com/kc-ml2/marlenv.git",lang:"bash",wrap:!1}}),we=new d({props:{title:"Import Errors",local:"import-errors",headingTag:"h3"}}),Te=new w({props:{code:"Y2QlMjBzcmMlMkZlbnZzJTJGc25ha2VfZW52JTBBdXYlMjBydW4lMjAtLXByb2plY3QlMjAuJTIwc2VydmVy",highlighted:`<span class="hljs-built_in">cd</span> src/envs/snake_env
uv run --project . server`,lang:"bash",wrap:!1}}),Ue=new d({props:{title:"Docker Build Issues",local:"docker-build-issues",headingTag:"h3"}}),je=new w({props:{code:"ZG9ja2VyJTIwYnVpbGQlMjAtdCUyMG9wZW5lbnYtYmFzZSUzQWxhdGVzdCUyMC1mJTIwc3JjJTJGb3BlbmVudiUyRmNvcmUlMkZjb250YWluZXJzJTJGaW1hZ2VzJTJGRG9ja2VyZmlsZSUyMC4=",highlighted:"docker build -t openenv-base:latest -f src/openenv/core/containers/images/Dockerfile .",lang:"bash",wrap:!1}}),he=new d({props:{title:"Citation",local:"citation",headingTag:"h2"}}),$e=new w({props:{code:"JTQwTUlTQyU3Qm1hcmxlbnYyMDIxJTJDJTBBJTIwJTIwJTIwJTIwYXV0aG9yJTIwJTNEJTIwJTdCTUwyJTdEJTJDJTBBJTIwJTIwJTIwJTIwdGl0bGUlMjAlM0QlMjAlN0JNYXJsZW52JTJDJTIwTXVsdGktYWdlbnQlMjBSZWluZm9yY2VtZW50JTIwTGVhcm5pbmclMjBFbnZpcm9ubWVudCU3RCUyQyUwQSUyMCUyMCUyMCUyMGhvd3B1Ymxpc2hlZCUyMCUzRCUyMCU3QiU1Q3VybCU3Qmh0dHAlM0ElMkYlMkZnaXRodWIuY29tJTJGa2MtbWwyJTJGbWFybGVudiU3RCU3RCUyQyUwQSUyMCUyMCUyMCUyMHllYXIlMjAlM0QlMjAlN0IyMDIxJTdEJTBBJTdE",highlighted:`@MISC{marlenv2021,
    author = {ML2},
    title = {Marlenv, Multi-agent Reinforcement Learning Environment},
    howpublished = {\\url{http:<span class="hljs-regexp">//gi</span>thub.com<span class="hljs-regexp">/kc-ml2/m</span>arlenv}},
    year = {<span class="hljs-number">2021</span>}
}`,lang:"bibtex",wrap:!1}}),Ce=new d({props:{title:"License",local:"license",headingTag:"h2"}}),ve=new 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