openenv/pr_792/en/_app/immutable/nodes/5.f2f4e3a4.js

import{s as Gt,n as Nt,o as Qt}from"../chunks/scheduler.2b22cead.js";import{S as Vt,i as Ft,e as w,s as a,c as M,h as Wt,a as j,d as t,b as n,f as Rt,g as i,j as r,k as Et,l as vt,m as e,n as T,t as J,o as p,p as U}from"../chunks/index.1a0e8013.js";import{C as Yt,H as y,E as Zt}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.f6f2e20a.js";import{C as m}from"../chunks/CodeBlock.6eebe645.js";function Xt(it){let c,vl,Fl,Yl,I,Zl,A,Xl,o,Tt="Integration of Atari 2600 games with the OpenEnv framework via the Arcade Learning Environment (ALE). ALE provides access to 100+ classic Atari games for RL research.",Sl,C,_l,d,Jt="ALE supports 100+ Atari 2600 games including:",Ol,h,zl,u,pt="<li><strong>Pong</strong> - Classic two-player tennis</li> <li><strong>Breakout</strong> - Break bricks with a ball</li> <li><strong>Space Invaders</strong> - Shoot descending aliens</li> <li><strong>Pac-Man / Ms. Pac-Man</strong> - Navigate mazes and eat pellets</li> <li><strong>Asteroids</strong> - Destroy asteroids in space</li> <li><strong>Defender</strong> - Side-scrolling space shooter</li> <li><strong>Centipede</strong> - Shoot segmented centipede</li> <li><strong>Donkey Kong</strong> - Jump over barrels to save princess</li> <li><strong>Frogger</strong> - Cross road and river safely</li> <li><strong>Q*bert</strong> - Jump on pyramid cubes</li>",Ll,g,Ut='And many more! For a complete list, see <a href="https://ale.farama.org/environments/complete_list/" rel="nofollow">ALE documentation</a>.',Dl,b,Hl,f,xl,B,Pl,$,ql,k,yt="<strong>Requirements:</strong>",Kl,R,wt="<li>Python 3.11+</li> <li>ale-py installed: <code>pip install ale-py</code></li>",ls,E,jt="The client is <strong>async by default</strong>:",ss,G,ts,N,rt="For <strong>synchronous usage</strong>, use the <code>.sync()</code> wrapper:",es,Q,as,V,ns,F,mt="<strong>Build Atari image:</strong>",Ms,W,is,v,ct="<strong>Run specific games:</strong>",Ts,Y,Js,Z,It="<strong>Use with from_docker_image():</strong>",ps,X,Us,S,ys,_,ws,O,At="<li><strong>Shape</strong>: [210, 160, 3]</li> <li><strong>Description</strong>: Full-color screen observation</li> <li><strong>Usage</strong>: Most realistic, good for vision-based learning</li>",js,z,rs,L,ms,D,ot="<li><strong>Shape</strong>: [210, 160]</li> <li><strong>Description</strong>: Grayscale screen observation</li> <li><strong>Usage</strong>: Reduced dimensionality, faster processing</li>",cs,H,Is,x,As,P,Ct="<li><strong>Shape</strong>: [128]</li> <li><strong>Description</strong>: Raw 128-byte Atari 2600 RAM contents</li> <li><strong>Usage</strong>: Compact representation, useful for specific research</li>",os,q,Cs,K,ds,ll,hs,sl,dt="Game-specific minimal actions (typically 4-9 actions).",us,tl,ht="<li>Pong: 6 actions (NOOP, FIRE, UP, DOWN, etc.)</li> <li>Breakout: 4 actions (NOOP, FIRE, LEFT, RIGHT)</li>",gs,el,bs,al,fs,nl,ut=`All 18 possible Atari 2600 actions:
0. NOOP`,Bs,Ml,gt="<li>FIRE</li> <li>UP</li> <li>RIGHT</li> <li>LEFT</li> <li>DOWN</li> <li>UPRIGHT</li> <li>UPLEFT</li> <li>DOWNRIGHT</li> <li>DOWNLEFT</li> <li>UPFIRE</li> <li>RIGHTFIRE</li> <li>LEFTFIRE</li> <li>DOWNFIRE</li> <li>UPRIGHTFIRE</li> <li>UPLEFTFIRE</li> <li>DOWNRIGHTFIRE</li> <li>DOWNLEFTFIRE</li>",$s,il,ks,Tl,Rs,Jl,Es,pl,bt="<li><code>ATARI_GAME</code>: Game name (default: “pong”)</li> <li><code>ATARI_OBS_TYPE</code>: Observation type - “rgb”, “grayscale”, “ram” (default: “rgb”)</li> <li><code>ATARI_FULL_ACTION_SPACE</code>: Use full action space - “true”/“false” (default: “false”)</li> <li><code>ATARI_MODE</code>: Game mode (optional, game-specific)</li> <li><code>ATARI_DIFFICULTY</code>: Game difficulty (optional, game-specific)</li> <li><code>ATARI_REPEAT_ACTION_PROB</code>: Sticky action probability 0.0-1.0 (default: “0.0”)</li> <li><code>ATARI_FRAMESKIP</code>: Frames to skip per action (default: “4”)</li>",Gs,Ul,Ns,yl,Qs,wl,Vs,jl,Fs,rl,Ws,ml,vs,cl,Ys,Il,Zs,Al,Xs,ol,Ss,Cl,_s,dl,Os,hl,zs,ul,Ls,gl,Ds,bl,Hs,fl,xs,Bl,ft="<thead><tr><th>Game</th> <th>Minimal Actions</th> <th>Lives</th> <th>Difficulty</th> <th>Notes</th></tr></thead> <tbody><tr><td>Pong</td> <td>6</td> <td>1</td> <td>Low</td> <td>Good for learning basics</td></tr> <tr><td>Breakout</td> <td>4</td> <td>5</td> <td>Medium</td> <td>Classic RL benchmark</td></tr> <tr><td>Space Invaders</td> <td>6</td> <td>3</td> <td>Medium</td> <td>Shooting game</td></tr> <tr><td>Ms. Pac-Man</td> <td>9</td> <td>3</td> <td>High</td> <td>Complex navigation</td></tr> <tr><td>Asteroids</td> <td>14</td> <td>3</td> <td>Medium</td> <td>Continuous shooting</td></tr> <tr><td>Montezuma’s Revenge</td> <td>18</td> <td>5</td> <td>Very High</td> <td>Exploration challenge</td></tr> <tr><td>Pitfall</td> <td>18</td> <td>1</td> <td>High</td> <td>Platformer</td></tr> <tr><td>Seaquest</td> <td>18</td> <td>3</td> <td>High</td> <td>Submarine rescue</td></tr></tbody>",Ps,$l,qs,kl,Bt="<li><strong>Frame perfect timing</strong>: Some games require precise timing</li> <li><strong>Exploration</strong>: Games like Montezuma’s Revenge are notoriously difficult</li> <li><strong>Observation delay</strong>: HTTP adds minimal latency vs local gym</li> <li><strong>Determinism</strong>: Set <code>ATARI_REPEAT_ACTION_PROB=0.0</code> for deterministic behavior</li> <li><strong>ROMs</strong>: All ROMs are bundled with ale-py package</li>",Ks,Rl,lt,El,$t='<li><a href="https://jair.org/index.php/jair/article/view/10819" rel="nofollow">Arcade Learning Environment Paper (2013)</a></li> <li><a href="https://github.com/Farama-Foundation/Arcade-Learning-Environment" rel="nofollow">ALE GitHub</a></li> <li><a href="https://ale.farama.org/" rel="nofollow">ALE Documentation</a></li> <li><a href="https://gymnasium.farama.org/environments/atari/" rel="nofollow">Gymnasium Atari Environments</a></li>',st,Gl,tt,Nl,kt="If you use ALE in your research, please cite:",et,Ql,at,Vl,nt,Wl,Mt;return I=new Yt({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),A=new y({props:{title:"Atari Environment",local:"atari-environment",headingTag:"h1"}}),C=new y({props:{title:"Supported Games",local:"supported-games",headingTag:"h2"}}),h=new y({props:{title:"Popular Games",local:"popular-games",headingTag:"h3"}}),b=new y({props:{title:"Architecture",local:"architecture",headingTag:"h2"}}),f=new m({props:{code:"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",highlighted:`┌────────────────────────────────────┐
│ RL Training <span class="hljs-selector-tag">Code</span> (Client)          │
│   AtariEnv<span class="hljs-selector-class">.step</span>(action)            │
└──────────────┬─────────────────────┘
               │ HTTP
┌──────────────▼─────────────────────┐
│ FastAPI Server (Docker)            │
│   AtariEnvironment                 │
│     ├─ Wraps ALEInterface          │
│     ├─ Handles observations        │
│     └─ Action execution            │
└────────────────────────────────────┘`,lang:"",wrap:!1}}),B=new y({props:{title:"Installation & Usage",local:"installation--usage",headingTag:"h2"}}),$=new y({props:{title:"Option 1: Local Development (without Docker)",local:"option-1-local-development-without-docker",headingTag:"h3"}}),G=new m({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> asyncio
<span class="hljs-keyword">from</span> atari_env <span class="hljs-keyword">import</span> AtariEnv, AtariAction

<span class="hljs-keyword">async</span> <span class="hljs-keyword">def</span> <span class="hljs-title function_">main</span>():
    <span class="hljs-comment"># Start local server manually: python -m atari_env.server.app</span>
    <span class="hljs-keyword">async</span> <span class="hljs-keyword">with</span> AtariEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>) <span class="hljs-keyword">as</span> env:
        <span class="hljs-comment"># Reset environment</span>
        result = <span class="hljs-keyword">await</span> env.reset()
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Screen shape: <span class="hljs-subst">{result.observation.screen_shape}</span>&quot;</span>)
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Legal actions: <span class="hljs-subst">{result.observation.legal_actions}</span>&quot;</span>)

        <span class="hljs-comment"># Take actions</span>
        <span class="hljs-keyword">for</span> _ <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">10</span>):
            result = <span class="hljs-keyword">await</span> env.step(AtariAction(action_id=<span class="hljs-number">2</span>, game_name=<span class="hljs-string">&quot;pong&quot;</span>))
            <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Reward: <span class="hljs-subst">{result.reward}</span>, Done: <span class="hljs-subst">{result.done}</span>&quot;</span>)
            <span class="hljs-keyword">if</span> result.done:
                <span class="hljs-keyword">break</span>

asyncio.run(main())`,lang:"python",wrap:!1}}),Q=new m({props:{code:"ZnJvbSUyMGF0YXJpX2VudiUyMGltcG9ydCUyMEF0YXJpRW52JTJDJTIwQXRhcmlBY3Rpb24lMEElMEF3aXRoJTIwQXRhcmlFbnYoYmFzZV91cmwlM0QlMjJodHRwJTNBJTJGJTJGbG9jYWxob3N0JTNBODAwMCUyMikuc3luYygpJTIwYXMlMjBlbnYlM0ElMEElMjAlMjAlMjAlMjByZXN1bHQlMjAlM0QlMjBlbnYucmVzZXQoKSUwQSUyMCUyMCUyMCUyMHJlc3VsdCUyMCUzRCUyMGVudi5zdGVwKEF0YXJpQWN0aW9uKGFjdGlvbl9pZCUzRDIlMkMlMjBnYW1lX25hbWUlM0QlMjJwb25nJTIyKSklMEElMjAlMjAlMjAlMjBwcmludChmJTIyUmV3YXJkJTNBJTIwJTdCcmVzdWx0LnJld2FyZCU3RCUyMik=",highlighted:`<span class="hljs-keyword">from</span> atari_env <span class="hljs-keyword">import</span> AtariEnv, AtariAction

<span class="hljs-keyword">with</span> AtariEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>).sync() <span class="hljs-keyword">as</span> env:
    result = env.reset()
    result = env.step(AtariAction(action_id=<span class="hljs-number">2</span>, game_name=<span class="hljs-string">&quot;pong&quot;</span>))
    <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Reward: <span class="hljs-subst">{result.reward}</span>&quot;</span>)`,lang:"python",wrap:!1}}),V=new y({props:{title:"Option 2: Docker (Recommended)",local:"option-2-docker-recommended",headingTag:"h3"}}),W=new m({props:{code:"Y2QlMjBPcGVuRW52JTBBJTBBJTIzJTIwQnVpbGQlMjB0aGUlMjBpbWFnZSUwQWRvY2tlciUyMGJ1aWxkJTIwJTVDJTBBJTIwJTIwLWYlMjBlbnZzJTJGYXRhcmlfZW52JTJGc2VydmVyJTJGRG9ja2VyZmlsZSUyMCU1QyUwQSUyMCUyMC10JTIwYXRhcmktZW52JTNBbGF0ZXN0JTIwJTVDJTBBJTIwJTIwLg==",highlighted:`<span class="hljs-built_in">cd</span> OpenEnv

<span class="hljs-comment"># Build the image</span>
docker build \\
  -f envs/atari_env/server/Dockerfile \\
  -t atari-env:latest \\
  .`,lang:"bash",wrap:!1}}),Y=new m({props:{code:"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",highlighted:`<span class="hljs-comment"># Pong (default)</span>
docker run -p 8000:8000 atari-env:latest

<span class="hljs-comment"># Breakout</span>
docker run -p 8000:8000 -e ATARI_GAME=breakout atari-env:latest

<span class="hljs-comment"># Space Invaders with grayscale observation</span>
docker run -p 8000:8000 \\
  -e ATARI_GAME=space_invaders \\
  -e ATARI_OBS_TYPE=grayscale \\
  atari-env:latest

<span class="hljs-comment"># Ms. Pac-Man with full action space</span>
docker run -p 8000:8000 \\
  -e ATARI_GAME=ms_pacman \\
  -e ATARI_FULL_ACTION_SPACE=<span class="hljs-literal">true</span> \\
  atari-env:latest`,lang:"bash",wrap:!1}}),X=new m({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> asyncio
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np
<span class="hljs-keyword">from</span> atari_env <span class="hljs-keyword">import</span> AtariEnv, AtariAction

<span class="hljs-keyword">async</span> <span class="hljs-keyword">def</span> <span class="hljs-title function_">main</span>():
    <span class="hljs-comment"># Automatically starts container</span>
    client = <span class="hljs-keyword">await</span> AtariEnv.from_docker_image(<span class="hljs-string">&quot;atari-env:latest&quot;</span>)

    <span class="hljs-keyword">async</span> <span class="hljs-keyword">with</span> client:
        result = <span class="hljs-keyword">await</span> client.reset()
        result = <span class="hljs-keyword">await</span> client.step(AtariAction(action_id=<span class="hljs-number">2</span>))  <span class="hljs-comment"># UP</span>

        <span class="hljs-comment"># Reshape screen for visualization</span>
        screen = np.array(result.observation.screen).reshape(result.observation.screen_shape)
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Screen shape: <span class="hljs-subst">{screen.shape}</span>&quot;</span>)  <span class="hljs-comment"># (210, 160, 3) for RGB</span>

asyncio.run(main())`,lang:"python",wrap:!1}}),S=new y({props:{title:"Observation Types",local:"observation-types",headingTag:"h2"}}),_=new y({props:{title:"1. RGB (Default)",local:"1-rgb-default",headingTag:"h3"}}),z=new m({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMC1lJTIwQVRBUklfT0JTX1RZUEUlM0RyZ2IlMjBhdGFyaS1lbnYlM0FsYXRlc3Q=",highlighted:'docker run -p <span class="hljs-number">8000</span>:<span class="hljs-number">8000</span> -e ATARI_OBS_TYPE=rgb atari-env:latest',lang:"python",wrap:!1}}),L=new y({props:{title:"2. Grayscale",local:"2-grayscale",headingTag:"h3"}}),H=new m({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMC1lJTIwQVRBUklfT0JTX1RZUEUlM0RncmF5c2NhbGUlMjBhdGFyaS1lbnYlM0FsYXRlc3Q=",highlighted:'docker run -p <span class="hljs-number">8000</span>:<span class="hljs-number">8000</span> -e ATARI_OBS_TYPE=grayscale atari-env:latest',lang:"python",wrap:!1}}),x=new y({props:{title:"3. RAM",local:"3-ram",headingTag:"h3"}}),q=new m({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMC1lJTIwQVRBUklfT0JTX1RZUEUlM0RyYW0lMjBhdGFyaS1lbnYlM0FsYXRlc3Q=",highlighted:'docker run -p <span class="hljs-number">8000</span>:<span class="hljs-number">8000</span> -e ATARI_OBS_TYPE=ram atari-env:latest',lang:"python",wrap:!1}}),K=new y({props:{title:"Action Spaces",local:"action-spaces",headingTag:"h2"}}),ll=new y({props:{title:"Minimal Action Set (Default)",local:"minimal-action-set-default",headingTag:"h3"}}),el=new m({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMC1lJTIwQVRBUklfRlVMTF9BQ1RJT05fU1BBQ0UlM0RmYWxzZSUyMGF0YXJpLWVudiUzQWxhdGVzdA==",highlighted:'docker run -p <span class="hljs-number">8000</span>:<span class="hljs-number">8000</span> -e ATARI_FULL_ACTION_SPACE=false atari-env:latest',lang:"python",wrap:!1}}),al=new y({props:{title:"Full Action Set",local:"full-action-set",headingTag:"h3"}}),il=new m({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMC1lJTIwQVRBUklfRlVMTF9BQ1RJT05fU1BBQ0UlM0R0cnVlJTIwYXRhcmktZW52JTNBbGF0ZXN0",highlighted:'docker run -p <span class="hljs-number">8000</span>:<span class="hljs-number">8000</span> -e ATARI_FULL_ACTION_SPACE=true atari-env:latest',lang:"python",wrap:!1}}),Tl=new y({props:{title:"Configuration",local:"configuration",headingTag:"h2"}}),Jl=new y({props:{title:"Environment Variables",local:"environment-variables",headingTag:"h3"}}),Ul=new y({props:{title:"Example: Breakout with Custom Settings",local:"example-breakout-with-custom-settings",headingTag:"h3"}}),yl=new m({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMCU1QyUwQSUyMCUyMC1lJTIwQVRBUklfR0FNRSUzRGJyZWFrb3V0JTIwJTVDJTBBJTIwJTIwLWUlMjBBVEFSSV9PQlNfVFlQRSUzRGdyYXlzY2FsZSUyMCU1QyUwQSUyMCUyMC1lJTIwQVRBUklfRlVMTF9BQ1RJT05fU1BBQ0UlM0R0cnVlJTIwJTVDJTBBJTIwJTIwLWUlMjBBVEFSSV9SRVBFQVRfQUNUSU9OX1BST0IlM0QwLjI1JTIwJTVDJTBBJTIwJTIwLWUlMjBBVEFSSV9GUkFNRVNLSVAlM0Q0JTIwJTVDJTBBJTIwJTIwYXRhcmktZW52JTNBbGF0ZXN0",highlighted:`docker run -p 8000:8000 \\
  -e ATARI_GAME=breakout \\
  -e ATARI_OBS_TYPE=grayscale \\
  -e ATARI_FULL_ACTION_SPACE=<span class="hljs-literal">true</span> \\
  -e ATARI_REPEAT_ACTION_PROB=0.25 \\
  -e ATARI_FRAMESKIP=4 \\
  atari-env:latest`,lang:"bash",wrap:!1}}),wl=new y({props:{title:"API Reference",local:"api-reference",headingTag:"h2"}}),jl=new y({props:{title:"AtariAction",local:"atariaction",headingTag:"h3"}}),rl=new m({props:{code:"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",highlighted:`<span class="hljs-meta">@dataclass</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">AtariAction</span>(<span class="hljs-title class_ inherited__">Action</span>):
    action_id: <span class="hljs-built_in">int</span>                  <span class="hljs-comment"># Action index to execute</span>
    game_name: <span class="hljs-built_in">str</span> = <span class="hljs-string">&quot;pong&quot;</span>         <span class="hljs-comment"># Game name</span>
    obs_type: <span class="hljs-built_in">str</span> = <span class="hljs-string">&quot;rgb&quot;</span>           <span class="hljs-comment"># Observation type</span>
    full_action_space: <span class="hljs-built_in">bool</span> = <span class="hljs-literal">False</span> <span class="hljs-comment"># Full or minimal action space</span>`,lang:"python",wrap:!1}}),ml=new y({props:{title:"AtariObservation",local:"atariobservation",headingTag:"h3"}}),cl=new m({props:{code:"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",highlighted:`<span class="hljs-meta">@dataclass</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">AtariObservation</span>(<span class="hljs-title class_ inherited__">Observation</span>):
    screen: <span class="hljs-type">List</span>[<span class="hljs-built_in">int</span>]               <span class="hljs-comment"># Flattened screen pixels</span>
    screen_shape: <span class="hljs-type">List</span>[<span class="hljs-built_in">int</span>]         <span class="hljs-comment"># Original screen shape</span>
    legal_actions: <span class="hljs-type">List</span>[<span class="hljs-built_in">int</span>]        <span class="hljs-comment"># Legal action indices</span>
    lives: <span class="hljs-built_in">int</span>                      <span class="hljs-comment"># Lives remaining</span>
    episode_frame_number: <span class="hljs-built_in">int</span>       <span class="hljs-comment"># Frame # in episode</span>
    frame_number: <span class="hljs-built_in">int</span>               <span class="hljs-comment"># Total frame #</span>
    done: <span class="hljs-built_in">bool</span>                      <span class="hljs-comment"># Episode finished</span>
    reward: <span class="hljs-type">Optional</span>[<span class="hljs-built_in">float</span>]         <span class="hljs-comment"># Reward from last action</span>`,lang:"python",wrap:!1}}),Il=new y({props:{title:"AtariState",local:"ataristate",headingTag:"h3"}}),Al=new m({props:{code:"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",highlighted:`<span class="hljs-meta">@dataclass</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">AtariState</span>(<span class="hljs-title class_ inherited__">State</span>):
    episode_id: <span class="hljs-built_in">str</span>                      <span class="hljs-comment"># Unique episode ID</span>
    step_count: <span class="hljs-built_in">int</span>                      <span class="hljs-comment"># Number of steps</span>
    game_name: <span class="hljs-built_in">str</span>                       <span class="hljs-comment"># Game name</span>
    obs_type: <span class="hljs-built_in">str</span>                        <span class="hljs-comment"># Observation type</span>
    full_action_space: <span class="hljs-built_in">bool</span>              <span class="hljs-comment"># Action space type</span>
    mode: <span class="hljs-type">Optional</span>[<span class="hljs-built_in">int</span>]                  <span class="hljs-comment"># Game mode</span>
    difficulty: <span class="hljs-type">Optional</span>[<span class="hljs-built_in">int</span>]            <span class="hljs-comment"># Game difficulty</span>
    repeat_action_probability: <span class="hljs-built_in">float</span>     <span class="hljs-comment"># Sticky action prob</span>
    frameskip: <span class="hljs-built_in">int</span>                       <span class="hljs-comment"># Frameskip setting</span>`,lang:"python",wrap:!1}}),ol=new y({props:{title:"Example Script",local:"example-script",headingTag:"h2"}}),Cl=new m({props:{code:"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",highlighted:`<span class="hljs-comment">#!/usr/bin/env python3</span>
<span class="hljs-string">&quot;&quot;&quot;Example training loop with Atari environment.&quot;&quot;&quot;</span>

<span class="hljs-keyword">import</span> asyncio
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np
<span class="hljs-keyword">from</span> atari_env <span class="hljs-keyword">import</span> AtariEnv, AtariAction

<span class="hljs-keyword">async</span> <span class="hljs-keyword">def</span> <span class="hljs-title function_">train</span>():
    <span class="hljs-comment"># Start environment</span>
    client = <span class="hljs-keyword">await</span> AtariEnv.from_docker_image(<span class="hljs-string">&quot;atari-env:latest&quot;</span>)

    <span class="hljs-keyword">async</span> <span class="hljs-keyword">with</span> client:
        <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 = <span class="hljs-keyword">await</span> client.reset()
            episode_reward = <span class="hljs-number">0</span>
            steps = <span class="hljs-number">0</span>

            <span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> result.done:
                <span class="hljs-comment"># Random policy (replace with your RL agent)</span>
                action_id = np.random.choice(result.observation.legal_actions)

                <span class="hljs-comment"># Take action</span>
                result = <span class="hljs-keyword">await</span> client.step(AtariAction(action_id=action_id))

                episode_reward += result.reward <span class="hljs-keyword">or</span> <span class="hljs-number">0</span>
                steps += <span class="hljs-number">1</span>

                <span class="hljs-comment"># Reshape screen for processing</span>
                screen = np.array(result.observation.screen).reshape(
                    result.observation.screen_shape
                )

                <span class="hljs-comment"># Your RL training code here</span>
                <span class="hljs-comment"># ...</span>

            <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">{episode_reward:<span class="hljs-number">.2</span>f}</span>, steps=<span class="hljs-subst">{steps}</span>&quot;</span>)

asyncio.run(train())`,lang:"python",wrap:!1}}),dl=new y({props:{title:"Testing",local:"testing",headingTag:"h2"}}),hl=new y({props:{title:"Local Testing",local:"local-testing",headingTag:"h3"}}),ul=new m({props:{code:"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",highlighted:`<span class="hljs-comment"># Install dependencies</span>
pip install ale-py fastapi uvicorn requests

<span class="hljs-comment"># Start server</span>
<span class="hljs-built_in">export</span> PYTHONPATH=src:envs
python -m atari_env.server.app

<span class="hljs-comment"># Test from another terminal (using sync wrapper for simplicity)</span>
python -c <span class="hljs-string">&quot;
from atari_env import AtariEnv, AtariAction
with AtariEnv(base_url=&#x27;http://localhost:8000&#x27;).sync() as env:
    result = env.reset()
    print(f&#x27;Initial obs: {result.observation.screen_shape}&#x27;)
    result = env.step(AtariAction(action_id=2))
    print(f&#x27;After step: reward={result.reward}, done={result.done}&#x27;)
&quot;</span>`,lang:"bash",wrap:!1}}),gl=new y({props:{title:"Docker Testing",local:"docker-testing",headingTag:"h3"}}),bl=new m({props:{code:"JTIzJTIwQnVpbGQlMjBhbmQlMjBydW4lMEFkb2NrZXIlMjBidWlsZCUyMC1mJTIwZW52cyUyRmF0YXJpX2VudiUyRnNlcnZlciUyRkRvY2tlcmZpbGUlMjAtdCUyMGF0YXJpLWVudiUzQWxhdGVzdCUyMC4lMEFkb2NrZXIlMjBydW4lMjAtcCUyMDgwMDAlM0E4MDAwJTIwYXRhcmktZW52JTNBbGF0ZXN0JTBBJTBBJTIzJTIwVGVzdCUyMGluJTIwYW5vdGhlciUyMHRlcm1pbmFsJTBBY3VybCUyMGh0dHAlM0ElMkYlMkZsb2NhbGhvc3QlM0E4MDAwJTJGaGVhbHRoJTBBY3VybCUyMC1YJTIwUE9TVCUyMGh0dHAlM0ElMkYlMkZsb2NhbGhvc3QlM0E4MDAwJTJGcmVzZXQ=",highlighted:`<span class="hljs-comment"># Build and run</span>
docker build -f envs/atari_env/server/Dockerfile -t atari-env:latest .
docker run -p 8000:8000 atari-env:latest

<span class="hljs-comment"># Test in another terminal</span>
curl http://localhost:8000/health
curl -X POST http://localhost:8000/reset`,lang:"bash",wrap:!1}}),fl=new y({props:{title:"Popular Games and Their Characteristics",local:"popular-games-and-their-characteristics",headingTag:"h2"}}),$l=new y({props:{title:"Limitations & Notes",local:"limitations--notes",headingTag:"h2"}}),Rl=new y({props:{title:"References",local:"references",headingTag:"h2"}}),Gl=new y({props:{title:"Citation",local:"citation",headingTag:"h2"}}),Ql=new m({props:{code:"JTQwQXJ0aWNsZSU3QmJlbGxlbWFyZTEzYXJjYWRlJTJDJTBBJTIwJTIwJTIwJTIwYXV0aG9yJTIwJTNEJTIwJTdCJTdCQmVsbGVtYXJlJTdEJTJDJTIwTS5+Ry4lMjBhbmQlMjAlN0JOYWRkYWYlN0QlMkMlMjBZLiUyMGFuZCUyMCU3QlZlbmVzcyU3RCUyQyUyMEouJTIwYW5kJTIwJTdCQm93bGluZyU3RCUyQyUyME0uJTdEJTJDJTBBJTIwJTIwJTIwJTIwdGl0bGUlMjAlM0QlMjAlN0JUaGUlMjBBcmNhZGUlMjBMZWFybmluZyUyMEVudmlyb25tZW50JTNBJTIwQW4lMjBFdmFsdWF0aW9uJTIwUGxhdGZvcm0lMjBmb3IlMjBHZW5lcmFsJTIwQWdlbnRzJTdEJTJDJTBBJTIwJTIwJTIwJTIwam91cm5hbCUyMCUzRCUyMCU3QkpvdXJuYWwlMjBvZiUyMEFydGlmaWNpYWwlMjBJbnRlbGxpZ2VuY2UlMjBSZXNlYXJjaCU3RCUyQyUwQSUyMCUyMCUyMCUyMHllYXIlMjAlM0QlMjAlMjIyMDEzJTIyJTJDJTBBJTIwJTIwJTIwJTIwbW9udGglMjAlM0QlMjAlMjJqdW4lMjIlMkMlMEElMjAlMjAlMjAlMjB2b2x1bWUlMjAlM0QlMjAlMjI0NyUyMiUyQyUwQSUyMCUyMCUyMCUyMHBhZ2VzJTIwJTNEJTIwJTIyMjUzLS0yNzklMjIlMkMlMEElN0Q=",highlighted:`<span class="language-xml">@Article{bellemare13arcade,
    author = </span><span class="hljs-template-variable">{{<span class="hljs-name">Bellemare</span>}, M.~G. and {Naddaf}, Y. and {Veness}, J. and {Bowling}, M.},
    title = {The Arcade Learning Environment: An Evaluation Platform for General Agents},
    journal = {Journal of Artificial Intelligence Research},
    year = <span class="hljs-string">&quot;2013&quot;</span>,
    month = <span class="hljs-string">&quot;jun&quot;</span>,
    volume = <span class="hljs-string">&quot;47&quot;</span>,
    pages = <span class="hljs-string">&quot;253--279&quot;</span>,
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