openenv/pr_792/en/_app/immutable/nodes/10.dc00a45d.js

import{s as te,n as ee,o as se}from"../chunks/scheduler.2b22cead.js";import{S as le,i as ne,e as i,s as n,c as r,h as ae,a as p,d as s,b as a,f as Ot,g as o,j as h,k as Kt,l as ie,m as l,n as d,t as m,o as c,p as M}from"../chunks/index.1a0e8013.js";import{C as pe,H as u,E as re}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.f6f2e20a.js";import{C as Nt}from"../chunks/CodeBlock.6eebe645.js";function oe(Lt){let T,O,q,K,w,tt,j,et,b,_t='A chess reinforcement learning environment for OpenEnv, powered by the <a href="https://github.com/luccabb/moonfish" rel="nofollow">moonfish</a> chess engine.',st,f,lt,y,Qt="<li><strong>Full chess rules</strong> via python-chess library</li> <li><strong>Configurable opponent</strong>: moonfish engine, random moves, or self-play</li> <li><strong>Position evaluation</strong>: Uses moonfish’s PSQT-based evaluation</li> <li><strong>Standard OpenEnv interface</strong>: reset(), step(), state</li>",nt,J,at,$,it,U,pt,v,rt,g,xt="The client is <strong>async by default</strong>:",ot,C,dt,I,Ht="For <strong>synchronous usage</strong>, use the <code>.sync()</code> wrapper:",mt,A,ct,B,Mt,k,Vt="<thead><tr><th>Field</th> <th>Type</th> <th>Description</th></tr></thead> <tbody><tr><td><code>fen</code></td> <td>str</td> <td>Board position in FEN notation</td></tr> <tr><td><code>legal_moves</code></td> <td>List[str]</td> <td>Legal moves in UCI format</td></tr> <tr><td><code>is_check</code></td> <td>bool</td> <td>Whether current player is in check</td></tr> <tr><td><code>done</code></td> <td>bool</td> <td>Whether game has ended</td></tr> <tr><td><code>reward</code></td> <td>float</td> <td>Reward for last action</td></tr> <tr><td><code>result</code></td> <td>str</td> <td>Game result (“1-0”, “0-1”, “1/2-1/2”)</td></tr></tbody>",ht,E,ut,Z,zt="<thead><tr><th>Field</th> <th>Type</th> <th>Description</th></tr></thead> <tbody><tr><td><code>move</code></td> <td>str</td> <td>UCI format move (e.g., “e2e4”, “e7e8q”)</td></tr></tbody>",Tt,N,wt,L,Gt="<thead><tr><th>Outcome</th> <th>Reward</th></tr></thead> <tbody><tr><td>Win</td> <td>+1.0</td></tr> <tr><td>Loss</td> <td>-1.0</td></tr> <tr><td>Draw</td> <td>0.0</td></tr> <tr><td>Illegal move</td> <td>-0.1</td></tr></tbody>",jt,_,bt,Q,Dt="The environment supports these configuration options:",ft,x,St="<thead><tr><th>Parameter</th> <th>Default</th> <th>Description</th></tr></thead> <tbody><tr><td><code>opponent</code></td> <td>“moonfish”</td> <td>Opponent type: “moonfish”, “random”, or None</td></tr> <tr><td><code>opponent_depth</code></td> <td>2</td> <td>Search depth for moonfish opponent</td></tr> <tr><td><code>max_moves</code></td> <td>500</td> <td>Maximum half-moves before draw</td></tr> <tr><td><code>agent_color</code></td> <td>None</td> <td>Agent color: “white”, “black”, or None (alternate each episode)</td></tr> <tr><td><code>gamma</code></td> <td>0.99</td> <td>Discount factor for temporal credit assignment</td></tr></tbody>",yt,H,Jt,V,Wt="For RL training, the environment computes temporally discounted rewards at episode end. This helps with credit assignment in long games where only the final outcome is known.",$t,z,Rt="When an episode ends, the terminal observation’s <code>metadata</code> includes:",Ut,G,Xt="<li><code>discounted_rewards</code>: List of discounted rewards for each agent move</li> <li><code>gamma</code>: The discount factor used</li>",vt,D,Yt="The formula is <code>r_t = γ^(T-1-t) × R_final</code> where:",gt,S,Ft="<li><code>T</code> = total agent moves</li> <li><code>t</code> = move index (0-indexed)</li> <li><code>R_final</code> = terminal reward (+1, -1, or 0)</li>",Ct,W,qt="Example for a 5-move win with γ=0.99:",It,R,At,X,Bt,Y,Pt='<li><a href="https://github.com/luccabb/moonfish" rel="nofollow">moonfish GitHub</a></li> <li><a href="https://huggingface.co/spaces/luccabb/moonfish_chess" rel="nofollow">Play online</a></li>',kt,F,Et,P,Zt;return w=new pe({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),j=new u({props:{title:"Chess Environment",local:"chess-environment",headingTag:"h1"}}),f=new u({props:{title:"Features",local:"features",headingTag:"h2"}}),J=new u({props:{title:"Quick Start",local:"quick-start",headingTag:"h2"}}),$=new u({props:{title:"Using Docker",local:"using-docker",headingTag:"h3"}}),U=new Nt({props:{code:"JTIzJTIwQnVpbGQlMjB0aGUlMjBpbWFnZSUwQWRvY2tlciUyMGJ1aWxkJTIwLXQlMjBjaGVzcy1lbnYlM0FsYXRlc3QlMjAtZiUyMGVudnMlMkZjaGVzc19lbnYlMkZzZXJ2ZXIlMkZEb2NrZXJmaWxlJTIwLiUwQSUwQSUyMyUyMFJ1biUyMHRoZSUyMHNlcnZlciUwQWRvY2tlciUyMHJ1biUyMC1wJTIwODAwMCUzQTgwMDAlMjBjaGVzcy1lbnYlM0FsYXRlc3Q=",highlighted:`<span class="hljs-comment"># Build the image</span>
docker build -t chess-env:latest -f envs/chess_env/server/Dockerfile .

<span class="hljs-comment"># Run the server</span>
docker run -p 8000:8000 chess-env:latest`,lang:"bash",wrap:!1}}),v=new u({props:{title:"Using the Client",local:"using-the-client",headingTag:"h3"}}),C=new Nt({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> asyncio
<span class="hljs-keyword">from</span> chess_env <span class="hljs-keyword">import</span> ChessEnv, ChessAction

<span class="hljs-keyword">async</span> <span class="hljs-keyword">def</span> <span class="hljs-title function_">main</span>():
    <span class="hljs-keyword">async</span> <span class="hljs-keyword">with</span> ChessEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>) <span class="hljs-keyword">as</span> env:
        <span class="hljs-comment"># Reset for a new game</span>
        result = <span class="hljs-keyword">await</span> env.reset()
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Starting position: <span class="hljs-subst">{result.observation.fen}</span>&quot;</span>)
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Legal moves: <span class="hljs-subst">{result.observation.legal_moves}</span>&quot;</span>)

        <span class="hljs-comment"># Make a move</span>
        result = <span class="hljs-keyword">await</span> env.step(ChessAction(move=<span class="hljs-string">&quot;e2e4&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-comment"># Play until game ends</span>
        <span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> result.done:
            move = result.observation.legal_moves[<span class="hljs-number">0</span>]
            result = <span class="hljs-keyword">await</span> env.step(ChessAction(move=move))

        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Game result: <span class="hljs-subst">{result.observation.result}</span>&quot;</span>)

asyncio.run(main())`,lang:"python",wrap:!1}}),A=new Nt({props:{code:"ZnJvbSUyMGNoZXNzX2VudiUyMGltcG9ydCUyMENoZXNzRW52JTJDJTIwQ2hlc3NBY3Rpb24lMEElMEF3aXRoJTIwQ2hlc3NFbnYoYmFzZV91cmwlM0QlMjJodHRwJTNBJTJGJTJGbG9jYWxob3N0JTNBODAwMCUyMikuc3luYygpJTIwYXMlMjBlbnYlM0ElMEElMjAlMjAlMjAlMjByZXN1bHQlMjAlM0QlMjBlbnYucmVzZXQoKSUwQSUyMCUyMCUyMCUyMHJlc3VsdCUyMCUzRCUyMGVudi5zdGVwKENoZXNzQWN0aW9uKG1vdmUlM0QlMjJlMmU0JTIyKSklMEElMjAlMjAlMjAlMjBwcmludChmJTIyUmV3YXJkJTNBJTIwJTdCcmVzdWx0LnJld2FyZCU3RCUyMik=",highlighted:`<span class="hljs-keyword">from</span> chess_env <span class="hljs-keyword">import</span> ChessEnv, ChessAction

<span class="hljs-keyword">with</span> ChessEnv(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(ChessAction(move=<span class="hljs-string">&quot;e2e4&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}}),B=new u({props:{title:"Observation Space",local:"observation-space",headingTag:"h2"}}),E=new u({props:{title:"Action Space",local:"action-space",headingTag:"h2"}}),N=new u({props:{title:"Rewards",local:"rewards",headingTag:"h2"}}),_=new u({props:{title:"Configuration",local:"configuration",headingTag:"h2"}}),H=new u({props:{title:"Temporal Discounting",local:"temporal-discounting",headingTag:"h2"}}),R=new Nt({props:{code:"TW92ZSUyMDAlM0ElMjAwLjk5JTVFNCUyMCVDMyU5NyUyMDEuMCUyMCUzRCUyMDAuOTYxJTBBTW92ZSUyMDElM0ElMjAwLjk5JTVFMyUyMCVDMyU5NyUyMDEuMCUyMCUzRCUyMDAuOTcwJTBBTW92ZSUyMDIlM0ElMjAwLjk5JTVFMiUyMCVDMyU5NyUyMDEuMCUyMCUzRCUyMDAuOTgwJTBBTW92ZSUyMDMlM0ElMjAwLjk5JTVFMSUyMCVDMyU5NyUyMDEuMCUyMCUzRCUyMDAuOTkwJTBBTW92ZSUyMDQlM0ElMjAwLjk5JTVFMCUyMCVDMyU5NyUyMDEuMCUyMCUzRCUyMDEuMDAw",highlighted:`<span class="hljs-attribute">Move</span> <span class="hljs-number">0</span>: <span class="hljs-number">0</span>.<span class="hljs-number">99</span>^<span class="hljs-number">4</span> × <span class="hljs-number">1</span>.<span class="hljs-number">0</span> = <span class="hljs-number">0</span>.<span class="hljs-number">961</span>
<span class="hljs-attribute">Move</span> <span class="hljs-number">1</span>: <span class="hljs-number">0</span>.<span class="hljs-number">99</span>^<span class="hljs-number">3</span> × <span class="hljs-number">1</span>.<span class="hljs-number">0</span> = <span class="hljs-number">0</span>.<span class="hljs-number">970</span>
<span class="hljs-attribute">Move</span> <span class="hljs-number">2</span>: <span class="hljs-number">0</span>.<span class="hljs-number">99</span>^<span class="hljs-number">2</span> × <span class="hljs-number">1</span>.<span class="hljs-number">0</span> = <span class="hljs-number">0</span>.<span class="hljs-number">980</span>
<span class="hljs-attribute">Move</span> <span class="hljs-number">3</span>: <span class="hljs-number">0</span>.<span class="hljs-number">99</span>^<span class="hljs-number">1</span> × <span class="hljs-number">1</span>.<span class="hljs-number">0</span> = <span class="hljs-number">0</span>.<span class="hljs-number">990</span>
<span class="hljs-attribute">Move</span> <span class="hljs-number">4</span>: <span class="hljs-number">0</span>.<span class="hljs-number">99</span>^<span class="hljs-number">0</span> × <span class="hljs-number">1</span>.<span class="hljs-number">0</span> = <span class="hljs-number">1</span>.<span class="hljs-number">000</span>`,lang:"",wrap:!1}}),X=new u({props:{title:"Links",local:"links",headingTag:"h2"}}),F=new 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