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hf-doc-build/doc-dev / openenv /pr_802 /en /_app /immutable /nodes /35.81beeee2.js

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	import{s as Os,n as Ks,o as ei}from"../chunks/scheduler.2b22cead.js";import{S as ti,i as li,e as d,s,c as a,h as ni,a as y,d as l,b as i,f as Yt,g as p,j as U,k as rs,l as u,m as n,n as M,t as o,o as r,p as c}from"../chunks/index.1a0e8013.js";import{C as si,H as m,E as ii}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.b9cb86dd.js";import{C as w}from"../chunks/CodeBlock.f113894f.js";function ai(cs){let h,Xt,Nt,Ht,b,xt,$,_t,f,ms='OpenEnv wrapper for <a href="https://github.com/Unity-Technologies/ml-agents" rel="nofollow">Unity ML-Agents</a> environments. This environment provides access to Unity’s reinforcement learning environments through a standardized HTTP/WebSocket interface.',Lt,j,ds='<img src="https://raw.githubusercontent.com/huggingface/OpenEnv/main/envs/unity_env/assets/unity_pushblock.gif" alt="PushBlock" width="400"/> <img src="https://raw.githubusercontent.com/huggingface/OpenEnv/main/envs/unity_env/assets/unity_3dball.gif" alt="3DBall" width="400"/>',Dt,C,Ft,g,ys="<thead><tr><th>Environment</th> <th>Action Type</th> <th>Description</th></tr></thead> <tbody><tr><td><strong>PushBlock</strong></td> <td>Discrete (7)</td> <td>Push a block to a goal position</td></tr> <tr><td><strong>3DBall</strong></td> <td>Continuous (2)</td> <td>Balance a ball on a platform</td></tr> <tr><td><strong>3DBallHard</strong></td> <td>Continuous (2)</td> <td>Harder version of 3DBall</td></tr> <tr><td><strong>GridWorld</strong></td> <td>Discrete (5)</td> <td>Navigate a grid to find goals</td></tr> <tr><td><strong>Basic</strong></td> <td>Discrete (3)</td> <td>Simple left/right movement</td></tr></tbody>",qt,I,Us="More environments may be available depending on the ML-Agents registry version.",Pt,v,Ot,B,Kt,G,el,R,ws='<li>Python 3.10+</li> <li><a href="https://docs.astral.sh/uv/" rel="nofollow">uv</a> (recommended) or pip</li>',tl,W,ll,Z,nl,k,sl,z,il,V,al,E,pl,A,us="<strong>Note:</strong> The first run will download Unity environment binaries (~500MB). These are cached in <code>~/.mlagents-cache/</code> for future use.",Ml,S,ol,N,rl,Q,Ts="<li>Docker installed and running</li> <li>Python 3.10+ (for running the client)</li>",cl,Y,ml,X,dl,H,hs='<strong>Note for Apple Silicon (M1/M2/M3/M4) users:</strong> Docker mode is <strong>not supported</strong> on Apple Silicon because Unity’s Mono runtime crashes under x86_64 emulation. Use <strong>direct mode</strong> (<code>--direct</code>) or <strong>server mode</strong> (<code>--url</code>) instead, which run native macOS binaries. See <a href="#docker-mode-fails-on-apple-silicon-m1m2m3m4">Troubleshooting</a> for details.',yl,x,Ul,_,wl,L,ul,D,Js="To connect to the Docker container, install the client on your host machine:",Tl,F,hl,q,Jl,P,jl,O,js="Run the Unity environment directly without a server:",bl,K,$l,ee,fl,te,bs="Start the server and connect with a client:",Cl,le,gl,ne,Il,se,$s="Run via Docker container (auto-starts and connects):",vl,ie,Bl,ae,Gl,pe,Rl,Me,Wl,oe,Zl,re,kl,ce,zl,me,Vl,de,El,ye,Al,Ue,Sl,we,Nl,ue,Ql,Te,Yl,he,Xl,Je,Hl,je,fs="<thead><tr><th>Option</th> <th>Default</th> <th>Description</th></tr></thead> <tbody><tr><td><code>--direct</code></td> <td>-</td> <td>Run environment directly (no server)</td></tr> <tr><td><code>--docker</code></td> <td>-</td> <td>Run via Docker container</td></tr> <tr><td><code>--url</code></td> <td>localhost:8000</td> <td>Server URL for server mode</td></tr> <tr><td><code>--docker-image</code></td> <td>unity-env:latest</td> <td>Docker image name</td></tr> <tr><td><code>--env</code></td> <td>PushBlock</td> <td>Environment: PushBlock, 3DBall, both</td></tr> <tr><td><code>--episodes</code></td> <td>3</td> <td>Number of episodes</td></tr> <tr><td><code>--max-steps</code></td> <td>500</td> <td>Max steps per episode</td></tr> <tr><td><code>--width</code></td> <td>1280</td> <td>Window width in pixels</td></tr> <tr><td><code>--height</code></td> <td>720</td> <td>Window height in pixels</td></tr> <tr><td><code>--no-graphics</code></td> <td>-</td> <td>Headless mode (faster)</td></tr> <tr><td><code>--time-scale</code></td> <td>1.0</td> <td>Simulation speed multiplier</td></tr> <tr><td><code>--quality-level</code></td> <td>5</td> <td>Graphics quality 0-5</td></tr> <tr><td><code>--quiet</code></td> <td>-</td> <td>Reduce output verbosity</td></tr></tbody>",xl,be,_l,$e,Ll,fe,Dl,Ce,Fl,ge,ql,Ie,Pl,ve,Ol,Be,Kl,Ge,en,Re,tn,We,ln,Ze,Cs="7 discrete actions:",nn,ke,gs="<li><code>0</code>: No operation</li> <li><code>1</code>: Move forward</li> <li><code>2</code>: Move backward</li> <li><code>3</code>: Rotate left</li> <li><code>4</code>: Rotate right</li> <li><code>5</code>: Strafe left</li> <li><code>6</code>: Strafe right</li>",sn,ze,an,Ve,pn,Ee,Is="2 continuous actions in range [-1, 1]:",Mn,Ae,vs="<li>Action 0: X-axis rotation</li> <li>Action 1: Z-axis rotation</li>",on,Se,rn,Ne,cn,Qe,Bs="All environments provide vector observations. The size depends on the environment:",mn,Ye,Gs="<li><strong>PushBlock</strong>: 70 dimensions (14 ray-casts detecting walls/goals/blocks)</li> <li><strong>3DBall</strong>: 8 dimensions (rotation and ball position/velocity)</li> <li><strong>GridWorld</strong>: Visual observations (grid view)</li>",dn,Xe,yn,He,Un,xe,Rs="Some environments support visual observations. Enable with <code>include_visual=True</code>:",wn,_e,un,Le,Tn,De,hn,Fe,Ws="When using <code>UnityEnv.from_direct()</code> to run with an embedded server:",Jn,qe,jn,Pe,bn,Oe,Zs="For Docker deployment, configure via environment variables:",$n,Ke,ks="<thead><tr><th>Variable</th> <th>Default</th> <th>Description</th></tr></thead> <tbody><tr><td><code>UNITY_ENV_ID</code></td> <td>PushBlock</td> <td>Default Unity environment</td></tr> <tr><td><code>UNITY_NO_GRAPHICS</code></td> <td>0</td> <td>Set to 1 for headless mode</td></tr> <tr><td><code>UNITY_WIDTH</code></td> <td>1280</td> <td>Window width in pixels</td></tr> <tr><td><code>UNITY_HEIGHT</code></td> <td>720</td> <td>Window height in pixels</td></tr> <tr><td><code>UNITY_TIME_SCALE</code></td> <td>1.0</td> <td>Simulation speed multiplier</td></tr> <tr><td><code>UNITY_QUALITY_LEVEL</code></td> <td>5</td> <td>Graphics quality 0-5</td></tr> <tr><td><code>UNITY_CACHE_DIR</code></td> <td>~/.mlagents-cache</td> <td>Binary cache directory</td></tr></tbody>",fn,et,Cn,tt,zs="Access detailed environment information:",gn,lt,In,nt,vn,st,Bn,it,Vs="<strong>Symptom:</strong> When running with <code>--docker</code> on Apple Silicon Macs, you see an error like:",Gn,at,Rn,pt,Es="Or in Docker logs:",Wn,Mt,Zn,ot,As="<strong>Cause:</strong> Unity ML-Agents binaries are x86_64 (Intel) only. When Docker runs the x86_64 Linux container on Apple Silicon, it uses QEMU emulation. The Mono runtime inside Unity has architecture-specific code that crashes under emulation.",kn,rt,Ss="<strong>Solutions:</strong>",zn,T,J,kt,Ns="<strong>Use Direct Mode</strong> (recommended for macOS):",is,ct,as,zt,Qs="Direct mode downloads native macOS binaries which work on Apple Silicon.",ps,mt,Vt,Ys="<strong>Use Server Mode</strong> with a local server:",Ms,dt,os,Et,Xs=`<p><strong>Use an x86_64 Linux machine</strong> for Docker mode:
	The Docker image works correctly on native x86_64 Linux machines (cloud VMs, dedicated servers, etc.).</p>`,Vn,yt,En,Ut,Hs="The first run downloads Unity binaries (~500MB). This is normal and only happens once. Binaries are cached in <code>~/.mlagents-cache/</code>.",An,wt,Sn,ut,xs="<li>Ensure <code>--no-graphics</code> is NOT set</li> <li>On Linux, ensure X11 is available</li> <li>For Docker, you may need to set up X11 forwarding</li>",Nn,Tt,Qn,ht,Yn,Jt,Xn,jt,Hn,bt,xn,$t,_s="The <code>mlagents-envs</code> and <code>mlagents</code> packages are installed from source by default (via the GitHub repository). If you encounter issues or want to install manually:",_n,ft,Ln,Ct,Ls="This approach is useful when:",Dn,gt,Ds="<li>You need to modify the mlagents source code</li> <li>You want to use a specific branch or commit</li> <li>The git dependency in pyproject.toml is causing issues</li>",Fn,It,qn,vt,Fs="<li><strong>First Run Download</strong>: Unity binaries (~500MB) are downloaded on first use</li> <li><strong>Platform-Specific</strong>: Binaries are platform-specific (macOS, Linux, Windows)</li> <li><strong>Apple Silicon + Docker</strong>: Docker mode does not work on Apple Silicon Macs due to x86_64 emulation issues with Unity’s Mono runtime. Use direct mode or server mode instead.</li> <li><strong>Single Worker</strong>: Unity environments are not thread-safe; use <code>workers=1</code></li> <li><strong>Graphics Mode</strong>: Some features require X11/display for graphics mode</li> <li><strong>Multi-Agent</strong>: Currently uses first agent only; full multi-agent support planned</li>",Pn,Bt,On,Gt,qs="<li><code>mlagents-envs</code> (installed from source via git)</li> <li><code>mlagents</code> (installed from source via git)</li> <li><code>numpy>=1.20.0</code></li> <li><code>pillow>=9.0.0</code> (for visual observations)</li> <li><code>openenv[core]>=0.2.0</code></li>",Kn,Rt,es,Wt,Ps='<li><a href="https://docs.unity3d.com/Packages/com.unity.ml-agents@4.0/manual/index.html" rel="nofollow">Unity ML-Agents Documentation</a></li> <li><a href="https://github.com/Unity-Technologies/ml-agents" rel="nofollow">ML-Agents GitHub</a></li> <li><a href="https://docs.unity3d.com/Packages/com.unity.ml-agents@4.0/manual/Learning-Environment-Examples.html" rel="nofollow">Example Environments</a></li>',ts,Zt,ls,Qt,ns;return b=new si({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),$=new m({props:{title:"Unity ML-Agents Environment",local:"unity-ml-agents-environment",headingTag:"h1"}}),C=new m({props:{title:"Supported Environments",local:"supported-environments",headingTag:"h2"}}),v=new m({props:{title:"Installation",local:"installation",headingTag:"h2"}}),B=new m({props:{title:"Option 1: Non-Docker Installation (Local Development)",local:"option-1-non-docker-installation-local-development",headingTag:"h3"}}),G=new m({props:{title:"Prerequisites",local:"prerequisites",headingTag:"h4"}}),W=new m({props:{title:"Install from OpenEnv Repository",local:"install-from-openenv-repository",headingTag:"h4"}}),Z=new w({props:{code:"JTIzJTIwQ2xvbmUlMjB0aGUlMjBPcGVuRW52JTIwcmVwb3NpdG9yeSUyMChpZiUyMG5vdCUyMGFscmVhZHklMjBkb25lKSUwQWdpdCUyMGNsb25lJTIwaHR0cHMlM0ElMkYlMkZnaXRodWIuY29tJTJGeW91ci1vcmclMkZPcGVuRW52LmdpdCUwQWNkJTIwT3BlbkVudiUwQSUwQSUyMyUyMEluc3RhbGwlMjB0aGUlMjB1bml0eV9lbnYlMjBwYWNrYWdlJTIwd2l0aCUyMGRlcGVuZGVuY2llcyUwQWNkJTIwZW52cyUyRnVuaXR5X2VudiUwQXV2JTIwcGlwJTIwaW5zdGFsbCUyMC1lJTIwLiUwQSUwQSUyMyUyME9yJTIwd2l0aCUyMHBpcCUwQXBpcCUyMGluc3RhbGwlMjAtZSUyMC4=",highlighted:`<span class="hljs-comment"># Clone the OpenEnv repository (if not already done)</span>
	git <span class="hljs-built_in">clone</span> https://github.com/your-org/OpenEnv.git
	<span class="hljs-built_in">cd</span> OpenEnv

	<span class="hljs-comment"># Install the unity_env package with dependencies</span>
	<span class="hljs-built_in">cd</span> envs/unity_env
	uv pip install -e .

	<span class="hljs-comment"># Or with pip</span>
	pip install -e .`,lang:"bash",wrap:!1}}),k=new m({props:{title:"Install Dependencies Only",local:"install-dependencies-only",headingTag:"h4"}}),z=new w({props:{code:"Y2QlMjBlbnZzJTJGdW5pdHlfZW52JTBBJTBBJTIzJTIwVXNpbmclMjB1diUyMChyZWNvbW1lbmRlZCklMEF1diUyMHN5bmMlMEElMEElMjMlMjBPciUyMHVzaW5nJTIwcGlwJTBBcGlwJTIwaW5zdGFsbCUyMC1yJTIwcmVxdWlyZW1lbnRzLnR4dCUyMCUyMCUyMyUyMGlmJTIwYXZhaWxhYmxlJTBBcGlwJTIwaW5zdGFsbCUyMG1sYWdlbnRzLWVudnMlMjBudW1weSUyMHBpbGxvdyUyMGZhc3RhcGklMjB1dmljb3JuJTIwcHlkYW50aWM=",highlighted:`<span class="hljs-built_in">cd</span> envs/unity_env

	<span class="hljs-comment"># Using uv (recommended)</span>
	uv <span class="hljs-built_in">sync</span>

	<span class="hljs-comment"># Or using pip</span>
	pip install -r requirements.txt <span class="hljs-comment"># if available</span>
	pip install mlagents-envs numpy pillow fastapi uvicorn pydantic`,lang:"bash",wrap:!1}}),V=new m({props:{title:"Verify Installation",local:"verify-installation",headingTag:"h4"}}),E=new w({props:{code:"JTIzJTIwVGVzdCUyMHRoZSUyMGluc3RhbGxhdGlvbiUwQWNkJTIwZW52cyUyRnVuaXR5X2VudiUwQXB5dGhvbiUyMC1jJTIwJTIyZnJvbSUyMGNsaWVudCUyMGltcG9ydCUyMFVuaXR5RW52JTNCJTIwcHJpbnQoJ0luc3RhbGxhdGlvbiUyMHN1Y2Nlc3NmdWwhJyklMjI=",highlighted:`<span class="hljs-comment"># Test the installation</span>
	<span class="hljs-built_in">cd</span> envs/unity_env
	python -c <span class="hljs-string">"from client import UnityEnv; print('Installation successful!')"</span>`,lang:"bash",wrap:!1}}),S=new m({props:{title:"Option 2: Docker Installation",local:"option-2-docker-installation",headingTag:"h3"}}),N=new m({props:{title:"Prerequisites",local:"prerequisites",headingTag:"h4"}}),Y=new m({props:{title:"Build the Docker Image",local:"build-the-docker-image",headingTag:"h4"}}),X=new w({props:{code:"Y2QlMjBlbnZzJTJGdW5pdHlfZW52JTBBJTBBJTIzJTIwQnVpbGQlMjB0aGUlMjBEb2NrZXIlMjBpbWFnZSUwQWRvY2tlciUyMGJ1aWxkJTIwLWYlMjBzZXJ2ZXIlMkZEb2NrZXJmaWxlJTIwLXQlMjB1bml0eS1lbnYlM0FsYXRlc3QlMjAuJTBBJTBBJTIzJTIwVmVyaWZ5JTIwdGhlJTIwYnVpbGQlMEFkb2NrZXIlMjBpbWFnZXMlMjAlN0MlMjBncmVwJTIwdW5pdHktZW52",highlighted:`<span class="hljs-built_in">cd</span> envs/unity_env

	<span class="hljs-comment"># Build the Docker image</span>
	docker build -f server/Dockerfile -t unity-env:latest .

	<span class="hljs-comment"># Verify the build</span>
	docker images \| grep unity-env`,lang:"bash",wrap:!1}}),x=new m({props:{title:"Run the Docker Container",local:"run-the-docker-container",headingTag:"h4"}}),_=new w({props:{code:"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",highlighted:`<span class="hljs-comment"># Run with default settings (graphics enabled, 800x600)</span>
	docker run -p 8000:8000 unity-env:latest

	<span class="hljs-comment"># Run with custom settings</span>
	docker run -p 8000:8000 \\
	-e UNITY_NO_GRAPHICS=0 \\
	-e UNITY_WIDTH=1280 \\
	-e UNITY_HEIGHT=720 \\
	-e UNITY_TIME_SCALE=1.0 \\
	unity-env:latest

	<span class="hljs-comment"># Run in headless mode (faster for training)</span>
	docker run -p 8000:8000 \\
	-e UNITY_NO_GRAPHICS=1 \\
	-e UNITY_TIME_SCALE=20 \\
	unity-env:latest

	<span class="hljs-comment"># Run with persistent cache (avoid re-downloading binaries)</span>
	docker run -p 8000:8000 \\
	-v ~/.mlagents-cache:/root/.mlagents-cache \\
	unity-env:latest`,lang:"bash",wrap:!1}}),L=new m({props:{title:"Install Client Dependencies",local:"install-client-dependencies",headingTag:"h4"}}),F=new w({props:{code:"Y2QlMjBlbnZzJTJGdW5pdHlfZW52JTBBcGlwJTIwaW5zdGFsbCUyMHJlcXVlc3RzJTIwd2Vic29ja2V0cw==",highlighted:`<span class="hljs-built_in">cd</span> envs/unity_env
	pip install requests websockets`,lang:"bash",wrap:!1}}),q=new m({props:{title:"Quick Start",local:"quick-start",headingTag:"h2"}}),P=new m({props:{title:"Option 1: Direct Mode (Fastest for Testing)",local:"option-1-direct-mode-fastest-for-testing",headingTag:"h3"}}),K=new w({props:{code:"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",highlighted:`<span class="hljs-comment"># From the OpenEnv repository root:</span>

	<span class="hljs-comment"># Run with graphics (default: 1280x720)</span>
	python examples/unity_simple.py --direct

	<span class="hljs-comment"># Run with custom window size</span>
	python examples/unity_simple.py --direct --width 800 --height 600

	<span class="hljs-comment"># Run headless (faster for training)</span>
	python examples/unity_simple.py --direct --no-graphics --time-scale 20

	<span class="hljs-comment"># Run 3DBall environment</span>
	python examples/unity_simple.py --direct --<span class="hljs-built_in">env</span> 3DBall --episodes 5`,lang:"bash",wrap:!1}}),ee=new m({props:{title:"Option 2: Server Mode",local:"option-2-server-mode",headingTag:"h3"}}),le=new w({props:{code:"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",highlighted:`<span class="hljs-comment"># Terminal 1: Start the server (graphics enabled by default)</span>
	<span class="hljs-built_in">cd</span> envs/unity_env
	uv run uvicorn server.app:app --host 0.0.0.0 --port 8000

	<span class="hljs-comment"># Terminal 2: Run the example client (from repo root)</span>
	python examples/unity_simple.py --url http://localhost:8000
	python examples/unity_simple.py --url http://localhost:8000 --<span class="hljs-built_in">env</span> 3DBall --episodes 5`,lang:"bash",wrap:!1}}),ne=new m({props:{title:"Option 3: Docker Mode",local:"option-3-docker-mode",headingTag:"h3"}}),ie=new w({props:{code:"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",highlighted:`<span class="hljs-comment"># Build the Docker image first</span>
	<span class="hljs-built_in">cd</span> envs/unity_env
	docker build -f server/Dockerfile -t unity-env:latest .

	<span class="hljs-comment"># Run examples from repo root:</span>
	<span class="hljs-built_in">cd</span> ../..

	<span class="hljs-comment"># Run with default settings</span>
	python examples/unity_simple.py --docker

	<span class="hljs-comment"># Run with custom window size</span>
	python examples/unity_simple.py --docker --width 1280 --height 720

	<span class="hljs-comment"># Run headless (faster for training)</span>
	python examples/unity_simple.py --docker --no-graphics --time-scale 20

	<span class="hljs-comment"># Run 3DBall for 10 episodes</span>
	python examples/unity_simple.py --docker --<span class="hljs-built_in">env</span> 3DBall --episodes 10

	<span class="hljs-comment"># Use a custom Docker image</span>
	python examples/unity_simple.py --docker --docker-image my-unity-env:v1`,lang:"bash",wrap:!1}}),ae=new m({props:{title:"Example Scripts",local:"example-scripts",headingTag:"h2"}}),pe=new m({props:{title:"Basic Usage Examples",local:"basic-usage-examples",headingTag:"h3"}}),Me=new m({props:{title:"1. Direct Mode - Quick Testing",local:"1-direct-mode---quick-testing",headingTag:"h4"}}),oe=new w({props:{code:"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",highlighted:`<span class="hljs-comment"># Run PushBlock with graphics (default)</span>
	python examples/unity_simple.py --direct

	<span class="hljs-comment"># Output:</span>
	<span class="hljs-comment"># ============================================================</span>
	<span class="hljs-comment"># Unity ML-Agents Environment - Direct Mode</span>
	<span class="hljs-comment"># ============================================================</span>
	<span class="hljs-comment"># Environment: PushBlock</span>
	<span class="hljs-comment"># Episodes: 3</span>
	<span class="hljs-comment"># Max steps: 500</span>
	<span class="hljs-comment"># Window size: 1280x720</span>
	<span class="hljs-comment"># Graphics: Enabled</span>
	<span class="hljs-comment"># ...</span>`,lang:"bash",wrap:!1}}),re=new m({props:{title:"2. Direct Mode - Training Configuration",local:"2-direct-mode---training-configuration",headingTag:"h4"}}),ce=new w({props:{code:"JTIzJTIwSGVhZGxlc3MlMjBtb2RlJTIwd2l0aCUyMGZhc3QlMjBzaW11bGF0aW9uJTIwKDIweCUyMHNwZWVkKSUwQXB5dGhvbiUyMGV4YW1wbGVzJTJGdW5pdHlfc2ltcGxlLnB5JTIwLS1kaXJlY3QlMjAtLW5vLWdyYXBoaWNzJTIwLS10aW1lLXNjYWxlJTIwMjAlMjAtLWVwaXNvZGVzJTIwMTAlMjAtLW1heC1zdGVwcyUyMDEwMDAlMEElMEElMjMlMjBUaGlzJTIwaXMlMjBpZGVhbCUyMGZvciUyMHRyYWluaW5nJTIwLSUyMG5vJTIwZ3JhcGhpY3MlMjBvdmVyaGVhZCUyQyUyMGZhc3RlciUyMHNpbXVsYXRpb24=",highlighted:`<span class="hljs-comment"># Headless mode with fast simulation (20x speed)</span>
	python examples/unity_simple.py --direct --no-graphics --time-scale 20 --episodes 10 --max-steps 1000

	<span class="hljs-comment"># This is ideal for training - no graphics overhead, faster simulation</span>`,lang:"bash",wrap:!1}}),me=new m({props:{title:"3. Direct Mode - 3DBall with Custom Window",local:"3-direct-mode---3dball-with-custom-window",headingTag:"h4"}}),de=new w({props:{code:"JTIzJTIwUnVuJTIwM0RCYWxsJTIwKGNvbnRpbnVvdXMlMjBhY3Rpb25zKSUyMHdpdGglMjBsYXJnZXIlMjB3aW5kb3clMEFweXRob24lMjBleGFtcGxlcyUyRnVuaXR5X3NpbXBsZS5weSUyMC0tZGlyZWN0JTIwLS1lbnYlMjAzREJhbGwlMjAtLXdpZHRoJTIwMTI4MCUyMC0taGVpZ2h0JTIwNzIwJTIwLS1lcGlzb2RlcyUyMDU=",highlighted:`<span class="hljs-comment"># Run 3DBall (continuous actions) with larger window</span>
	python examples/unity_simple.py --direct --<span class="hljs-built_in">env</span> 3DBall --width 1280 --height 720 --episodes 5`,lang:"bash",wrap:!1}}),ye=new m({props:{title:"4. Docker Mode - Production-like Testing",local:"4-docker-mode---production-like-testing",headingTag:"h4"}}),Ue=new w({props:{code:"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",highlighted:`<span class="hljs-comment"># Build the image first</span>
	<span class="hljs-built_in">cd</span> envs/unity_env
	docker build -f server/Dockerfile -t unity-env:latest .

	<span class="hljs-comment"># Run via Docker with graphics</span>
	python examples/unity_simple.py --docker --width 1280 --height 720

	<span class="hljs-comment"># Run via Docker in headless mode for training</span>
	python examples/unity_simple.py --docker --no-graphics --time-scale 20 --episodes 20`,lang:"bash",wrap:!1}}),we=new m({props:{title:"5. Server Mode - Separate Server and Client",local:"5-server-mode---separate-server-and-client",headingTag:"h4"}}),ue=new w({props:{code:"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",highlighted:`<span class="hljs-comment"># Terminal 1: Start server with specific settings</span>
	UNITY_WIDTH=1280 UNITY_HEIGHT=720 uv run uvicorn server.app:app --port 8000

	<span class="hljs-comment"># Terminal 2: Connect and run episodes</span>
	python examples/unity_simple.py --url http://localhost:8000 --<span class="hljs-built_in">env</span> PushBlock --episodes 5
	python examples/unity_simple.py --url http://localhost:8000 --<span class="hljs-built_in">env</span> 3DBall --episodes 5`,lang:"bash",wrap:!1}}),Te=new m({props:{title:"6. Alternating Environments",local:"6-alternating-environments",headingTag:"h4"}}),he=new w({props:{code:"JTIzJTIwUnVuJTIwYWx0ZXJuYXRpbmclMjBlcGlzb2RlcyUyMGJldHdlZW4lMjBQdXNoQmxvY2slMjBhbmQlMjAzREJhbGwlMEFweXRob24lMjBleGFtcGxlcyUyRnVuaXR5X3NpbXBsZS5weSUyMC0tZGlyZWN0JTIwLS1lbnYlMjBib3RoJTIwLS1lcGlzb2RlcyUyMDYlMEElMjMlMjBFcGlzb2RlcyUyMDElMkMzJTJDNSUyMCUzRCUyMFB1c2hCbG9jayUzQiUyMEVwaXNvZGVzJTIwMiUyQzQlMkM2JTIwJTNEJTIwM0RCYWxs",highlighted:`<span class="hljs-comment"># Run alternating episodes between PushBlock and 3DBall</span>
	python examples/unity_simple.py --direct --<span class="hljs-built_in">env</span> both --episodes 6
	<span class="hljs-comment"># Episodes 1,3,5 = PushBlock; Episodes 2,4,6 = 3DBall</span>`,lang:"bash",wrap:!1}}),Je=new m({props:{title:"Command Line Options",local:"command-line-options",headingTag:"h3"}}),be=new m({props:{title:"Python Client Usage",local:"python-client-usage",headingTag:"h2"}}),$e=new m({props:{title:"Connect to Server",local:"connect-to-server",headingTag:"h3"}}),fe=new w({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.unity_env <span class="hljs-keyword">import</span> UnityEnv, UnityAction

	<span class="hljs-comment"># Connect to the server</span>
	<span class="hljs-keyword">with</span> UnityEnv(base_url=<span class="hljs-string">"http://localhost:8000"</span>) <span class="hljs-keyword">as</span> client:
	<span class="hljs-comment"># Reset to PushBlock environment</span>
	result = client.reset(env_id=<span class="hljs-string">"PushBlock"</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Observation dims: <span class="hljs-subst">{<span class="hljs-built_in">len</span>(result.observation.vector_observations)}</span>"</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">100</span>):
	<span class="hljs-comment"># PushBlock actions: 0=noop, 1=forward, 2=backward,</span>
	<span class="hljs-comment"># 3=rotate_left, 4=rotate_right, 5=strafe_left, 6=strafe_right</span>
	action = UnityAction(discrete_actions=[<span class="hljs-number">1</span>]) <span class="hljs-comment"># Move forward</span>
	result = client.step(action)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Reward: <span class="hljs-subst">{result.reward}</span>, Done: <span class="hljs-subst">{result.done}</span>"</span>)

	<span class="hljs-keyword">if</span> result.done:
	result = client.reset()`,lang:"python",wrap:!1}}),Ce=new m({props:{title:"Connect via Docker",local:"connect-via-docker",headingTag:"h3"}}),ge=new w({props:{code:"ZnJvbSUyMGVudnMudW5pdHlfZW52JTIwaW1wb3J0JTIwVW5pdHlFbnYlMkMlMjBVbml0eUFjdGlvbiUwQSUwQSUyMyUyMEF1dG9tYXRpY2FsbHklMjBzdGFydCUyMERvY2tlciUyMGNvbnRhaW5lciUyMGFuZCUyMGNvbm5lY3QlMEFjbGllbnQlMjAlM0QlMjBVbml0eUVudi5mcm9tX2RvY2tlcl9pbWFnZSglMEElMjAlMjAlMjAlMjAlMjJ1bml0eS1lbnYlM0FsYXRlc3QlMjIlMkMlMEElMjAlMjAlMjAlMjBlbnZpcm9ubWVudCUzRCU3QiUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMlVOSVRZX05PX0dSQVBISUNTJTIyJTNBJTIwJTIyMCUyMiUyQyUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMlVOSVRZX1dJRFRIJTIyJTNBJTIwJTIyMTI4MCUyMiUyQyUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMlVOSVRZX0hFSUdIVCUyMiUzQSUyMCUyMjcyMCUyMiUyQyUwQSUyMCUyMCUyMCUyMCU3RCUwQSklMEElMEF0cnklM0ElMEElMjAlMjAlMjAlMjByZXN1bHQlMjAlM0QlMjBjbGllbnQucmVzZXQoZW52X2lkJTNEJTIyUHVzaEJsb2NrJTIyKSUwQSUyMCUyMCUyMCUyMGZvciUyMF8lMjBpbiUyMHJhbmdlKDEwMCklM0ElMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjBhY3Rpb24lMjAlM0QlMjBVbml0eUFjdGlvbihkaXNjcmV0ZV9hY3Rpb25zJTNEJTVCMSU1RCklMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjByZXN1bHQlMjAlM0QlMjBjbGllbnQuc3RlcChhY3Rpb24pJTBBZmluYWxseSUzQSUwQSUyMCUyMCUyMCUyMGNsaWVudC5jbG9zZSgp",highlighted:`<span class="hljs-keyword">from</span> envs.unity_env <span class="hljs-keyword">import</span> UnityEnv, UnityAction

	<span class="hljs-comment"># Automatically start Docker container and connect</span>
	client = UnityEnv.from_docker_image(
	<span class="hljs-string">"unity-env:latest"</span>,
	environment={
	<span class="hljs-string">"UNITY_NO_GRAPHICS"</span>: <span class="hljs-string">"0"</span>,
	<span class="hljs-string">"UNITY_WIDTH"</span>: <span class="hljs-string">"1280"</span>,
	<span class="hljs-string">"UNITY_HEIGHT"</span>: <span class="hljs-string">"720"</span>,
	}
	)

	<span class="hljs-keyword">try</span>:
	result = client.reset(env_id=<span class="hljs-string">"PushBlock"</span>)
	<span class="hljs-keyword">for</span> _ <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">100</span>):
	action = UnityAction(discrete_actions=[<span class="hljs-number">1</span>])
	result = client.step(action)
	<span class="hljs-keyword">finally</span>:
	client.close()`,lang:"python",wrap:!1}}),Ie=new m({props:{title:"Switch Environments Dynamically",local:"switch-environments-dynamically",headingTag:"h3"}}),ve=new w({props:{code:"JTIzJTIwU3RhcnQlMjB3aXRoJTIwUHVzaEJsb2NrJTBBcmVzdWx0JTIwJTNEJTIwY2xpZW50LnJlc2V0KGVudl9pZCUzRCUyMlB1c2hCbG9jayUyMiklMEElMjMlMjAuLi4lMjB0cmFpbiUyMG9uJTIwUHVzaEJsb2NrJTIwLi4uJTBBJTBBJTIzJTIwU3dpdGNoJTIwdG8lMjAzREJhbGwlMjAoY29udGludW91cyUyMGFjdGlvbnMpJTBBcmVzdWx0JTIwJTNEJTIwY2xpZW50LnJlc2V0KGVudl9pZCUzRCUyMjNEQmFsbCUyMiklMEFhY3Rpb24lMjAlM0QlMjBVbml0eUFjdGlvbihjb250aW51b3VzX2FjdGlvbnMlM0QlNUIwLjUlMkMlMjAtMC4zJTVEKSUwQXJlc3VsdCUyMCUzRCUyMGNsaWVudC5zdGVwKGFjdGlvbik=",highlighted:`<span class="hljs-comment"># Start with PushBlock</span>
	result = client.reset(env_id=<span class="hljs-string">"PushBlock"</span>)
	<span class="hljs-comment"># ... train on PushBlock ...</span>

	<span class="hljs-comment"># Switch to 3DBall (continuous actions)</span>
	result = client.reset(env_id=<span class="hljs-string">"3DBall"</span>)
	action = UnityAction(continuous_actions=[<span class="hljs-number">0.5</span>, -<span class="hljs-number">0.3</span>])
	result = client.step(action)`,lang:"python",wrap:!1}}),Be=new m({props:{title:"Direct Mode (Embedded Server)",local:"direct-mode-embedded-server",headingTag:"h3"}}),Ge=new w({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.unity_env.client <span class="hljs-keyword">import</span> UnityEnv
	<span class="hljs-keyword">from</span> envs.unity_env.models <span class="hljs-keyword">import</span> UnityAction

	<span class="hljs-comment"># Create client with embedded local server (no separate server needed)</span>
	client = UnityEnv.from_direct(
	env_id=<span class="hljs-string">"PushBlock"</span>,
	no_graphics=<span class="hljs-literal">False</span>, <span class="hljs-comment"># Show graphics window</span>
	width=<span class="hljs-number">1280</span>,
	height=<span class="hljs-number">720</span>,
	time_scale=<span class="hljs-number">1.0</span>,
	)

	<span class="hljs-keyword">try</span>:
	result = client.reset()
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Observation: <span class="hljs-subst">{<span class="hljs-built_in">len</span>(result.observation.vector_observations)}</span> dimensions"</span>)

	<span class="hljs-keyword">for</span> step <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">100</span>):
	action = UnityAction(discrete_actions=[<span class="hljs-number">1</span>]) <span class="hljs-comment"># Move forward</span>
	result = client.step(action)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Step <span class="hljs-subst">{step}</span>: reward=<span class="hljs-subst">{result.reward}</span>, done=<span class="hljs-subst">{result.done}</span>"</span>)

	<span class="hljs-keyword">if</span> result.done:
	result = client.reset()
	<span class="hljs-keyword">finally</span>:
	client.close()`,lang:"python",wrap:!1}}),Re=new m({props:{title:"Action Spaces",local:"action-spaces",headingTag:"h2"}}),We=new m({props:{title:"PushBlock (Discrete)",local:"pushblock-discrete",headingTag:"h3"}}),ze=new w({props:{code:"YWN0aW9uJTIwJTNEJTIwVW5pdHlBY3Rpb24oZGlzY3JldGVfYWN0aW9ucyUzRCU1QjElNUQpJTIwJTIwJTIzJTIwTW92ZSUyMGZvcndhcmQ=",highlighted:'action = UnityAction(discrete_actions=[<span class="hljs-number">1</span>]) <span class="hljs-comment"># Move forward</span>',lang:"python",wrap:!1}}),Ve=new m({props:{title:"3DBall (Continuous)",local:"3dball-continuous",headingTag:"h3"}}),Se=new w({props:{code:"YWN0aW9uJTIwJTNEJTIwVW5pdHlBY3Rpb24oY29udGludW91c19hY3Rpb25zJTNEJTVCMC41JTJDJTIwLTAuMyU1RCk=",highlighted:'action = UnityAction(continuous_actions=[<span class="hljs-number">0.5</span>, -<span class="hljs-number">0.3</span>])',lang:"python",wrap:!1}}),Ne=new m({props:{title:"Observations",local:"observations",headingTag:"h2"}}),Xe=new w({props:{code:"cmVzdWx0JTIwJTNEJTIwY2xpZW50LnJlc2V0KCklMEFvYnMlMjAlM0QlMjByZXN1bHQub2JzZXJ2YXRpb24lMEElMEElMjMlMjBBY2Nlc3MlMjBvYnNlcnZhdGlvbnMlMEFwcmludChmJTIyVmVjdG9yJTIwb2JzJTNBJTIwJTdCb2JzLnZlY3Rvcl9vYnNlcnZhdGlvbnMlN0QlMjIpJTBBcHJpbnQoZiUyMkJlaGF2aW9yJTNBJTIwJTdCb2JzLmJlaGF2aW9yX25hbWUlN0QlMjIpJTBBcHJpbnQoZiUyMkFjdGlvbiUyMHNwZWMlM0ElMjAlN0JvYnMuYWN0aW9uX3NwZWNfaW5mbyU3RCUyMik=",highlighted:`result = client.reset()
	obs = result.observation

	<span class="hljs-comment"># Access observations</span>
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Vector obs: <span class="hljs-subst">{obs.vector_observations}</span>"</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Behavior: <span class="hljs-subst">{obs.behavior_name}</span>"</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Action spec: <span class="hljs-subst">{obs.action_spec_info}</span>"</span>)`,lang:"python",wrap:!1}}),He=new m({props:{title:"Visual Observations (Optional)",local:"visual-observations-optional",headingTag:"h3"}}),_e=new w({props:{code:"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",highlighted:`result = client.reset(include_visual=<span class="hljs-literal">True</span>)
	<span class="hljs-keyword">if</span> result.observation.visual_observations:
	<span class="hljs-comment"># Base64-encoded PNG images</span>
	<span class="hljs-keyword">for</span> img_b64 <span class="hljs-keyword">in</span> result.observation.visual_observations:
	<span class="hljs-comment"># Decode and use the image</span>
	<span class="hljs-keyword">import</span> base64
	img_bytes = base64.b64decode(img_b64)`,lang:"python",wrap:!1}}),Le=new m({props:{title:"Configuration",local:"configuration",headingTag:"h2"}}),De=new m({props:{title:"Direct Mode Arguments",local:"direct-mode-arguments",headingTag:"h3"}}),qe=new w({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.unity_env.client <span class="hljs-keyword">import</span> UnityEnv

	client = UnityEnv.from_direct(
	env_id=<span class="hljs-string">"PushBlock"</span>, <span class="hljs-comment"># Unity environment to load</span>
	no_graphics=<span class="hljs-literal">False</span>, <span class="hljs-comment"># False = show graphics window</span>
	width=<span class="hljs-number">1280</span>, <span class="hljs-comment"># Window width in pixels</span>
	height=<span class="hljs-number">720</span>, <span class="hljs-comment"># Window height in pixels</span>
	time_scale=<span class="hljs-number">1.0</span>, <span class="hljs-comment"># Simulation speed (20.0 for fast training)</span>
	quality_level=<span class="hljs-number">5</span>, <span class="hljs-comment"># Graphics quality 0-5</span>
	port=<span class="hljs-number">8765</span>, <span class="hljs-comment"># Port for embedded server</span>
	)`,lang:"python",wrap:!1}}),Pe=new m({props:{title:"Environment Variables",local:"environment-variables",headingTag:"h3"}}),et=new m({props:{title:"Environment State",local:"environment-state",headingTag:"h2"}}),lt=new w({props:{code:"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",highlighted:`state = client.state()
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Environment: <span class="hljs-subst">{state.env_id}</span>"</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Episode ID: <span class="hljs-subst">{state.episode_id}</span>"</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Step count: <span class="hljs-subst">{state.step_count}</span>"</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Available envs: <span class="hljs-subst">{state.available_envs}</span>"</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Action spec: <span class="hljs-subst">{state.action_spec}</span>"</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Observation spec: <span class="hljs-subst">{state.observation_spec}</span>"</span>)`,lang:"python",wrap:!1}}),nt=new m({props:{title:"Troubleshooting",local:"troubleshooting",headingTag:"h2"}}),st=new m({props:{title:"Docker Mode Fails on Apple Silicon (M1/M2/M3/M4)",local:"docker-mode-fails-on-apple-silicon-m1m2m3m4",headingTag:"h3"}}),at=new w({props:{code:"RXJyb3IlMjBydW5uaW5nJTIwd2l0aCUyMERvY2tlciUzQSUyMFNlcnZlciUyMGVycm9yJTNBJTIwVGhlJTIwVW5pdHklMjBlbnZpcm9ubWVudCUyMHRvb2slMjB0b28lMjBsb25nJTIwdG8lMjByZXNwb25kLi4u",highlighted:'<span class="hljs-keyword">Error </span>running with Docker: Server error: The Unity environment took too long to respond...',lang:"",wrap:!1}}),Mt=new w({props:{code:"KiUyMEFzc2VydGlvbiUzQSUyMHNob3VsZCUyMG5vdCUyMGJlJTIwcmVhY2hlZCUyMGF0JTIwdHJhbXAtYW1kNjQuYyUzQTYwNSUwQUVudmlyb25tZW50JTIwc2h1dCUyMGRvd24lMjB3aXRoJTIwcmV0dXJuJTIwY29kZSUyMC02JTIwKFNJR0FCUlQp",highlighted:`* Assertion: <span class="hljs-keyword">should </span>not <span class="hljs-keyword">be </span>reached <span class="hljs-built_in">at</span> tramp-amd64.c:<span class="hljs-number">605</span>
	Environment <span class="hljs-keyword">shut </span>down with return code -<span class="hljs-number">6</span> (SIGABRT)`,lang:"",wrap:!1}}),ct=new w({props:{code:"cHl0aG9uJTIwZXhhbXBsZXMlMkZ1bml0eV9zaW1wbGUucHklMjAtLWRpcmVjdCUyMC0tbm8tZ3JhcGhpY3M=",highlighted:"python examples/unity_simple.py --direct --no-graphics",lang:"bash",wrap:!1}}),dt=new w({props:{code:"JTIzJTIwVGVybWluYWwlMjAxJTNBJTIwU3RhcnQlMjBzZXJ2ZXIlMjAodXNlcyUyMG5hdGl2ZSUyMG1hY09TJTIwYmluYXJpZXMpJTBBdXZpY29ybiUyMHNlcnZlci5hcHAlM0FhcHAlMjAtLWhvc3QlMjAwLjAuMC4wJTIwLS1wb3J0JTIwODAwMCUwQSUwQSUyMyUyMFRlcm1pbmFsJTIwMiUzQSUyMFJ1biUyMGNsaWVudCUwQXB5dGhvbiUyMGV4YW1wbGVzJTJGdW5pdHlfc2ltcGxlLnB5JTIwLS11cmwlMjBodHRwJTNBJTJGJTJGbG9jYWxob3N0JTNBODAwMA==",highlighted:`<span class="hljs-comment"># Terminal 1: Start server (uses native macOS binaries)</span>
	uvicorn server.app:app --host 0.0.0.0 --port 8000

	<span class="hljs-comment"># Terminal 2: Run client</span>
	python examples/unity_simple.py --url http://localhost:8000`,lang:"bash",wrap:!1}}),yt=new m({props:{title:"First Run is Slow",local:"first-run-is-slow",headingTag:"h3"}}),wt=new m({props:{title:"Graphics Not Showing",local:"graphics-not-showing",headingTag:"h3"}}),Tt=new m({props:{title:"Docker Container Fails to Start",local:"docker-container-fails-to-start",headingTag:"h3"}}),ht=new w({props:{code:"JTIzJTIwQ2hlY2slMjBEb2NrZXIlMjBsb2dzJTBBZG9ja2VyJTIwbG9ncyUyMCUzQ2NvbnRhaW5lcl9pZCUzRSUwQSUwQSUyMyUyMEVuc3VyZSUyMHRoZSUyMGltYWdlJTIwaXMlMjBidWlsdCUwQWRvY2tlciUyMGltYWdlcyUyMCU3QyUyMGdyZXAlMjB1bml0eS1lbnYlMEElMEElMjMlMjBSZWJ1aWxkJTIwaWYlMjBuZWNlc3NhcnklMEFjZCUyMGVudnMlMkZ1bml0eV9lbnYlMEFkb2NrZXIlMjBidWlsZCUyMC1mJTIwc2VydmVyJTJGRG9ja2VyZmlsZSUyMC10JTIwdW5pdHktZW52JTNBbGF0ZXN0JTIwLg==",highlighted:`<span class="hljs-comment"># Check Docker logs</span>
	docker logs <container_id>

	<span class="hljs-comment"># Ensure the image is built</span>
	docker images \| grep unity-env

	<span class="hljs-comment"># Rebuild if necessary</span>
	<span class="hljs-built_in">cd</span> envs/unity_env
	docker build -f server/Dockerfile -t unity-env:latest .`,lang:"bash",wrap:!1}}),Jt=new m({props:{title:"Import Errors",local:"import-errors",headingTag:"h3"}}),jt=new w({props:{code:"JTIzJTIwRW5zdXJlJTIweW91J3JlJTIwaW4lMjB0aGUlMjBjb3JyZWN0JTIwZGlyZWN0b3J5JTBBY2QlMjBlbnZzJTJGdW5pdHlfZW52JTBBJTBBJTIzJTIwSW5zdGFsbCUyMGRlcGVuZGVuY2llcyUwQXV2JTIwc3luYyUwQSUyMyUyMG9yJTBBcGlwJTIwaW5zdGFsbCUyMC1lJTIwLg==",highlighted:`<span class="hljs-comment"># Ensure you're in the correct directory</span>
	<span class="hljs-built_in">cd</span> envs/unity_env

	<span class="hljs-comment"># Install dependencies</span>
	uv <span class="hljs-built_in">sync</span>
	<span class="hljs-comment"># or</span>
	pip install -e .`,lang:"bash",wrap:!1}}),bt=new m({props:{title:"mlagents-envs Installation Issues",local:"mlagents-envs-installation-issues",headingTag:"h3"}}),ft=new w({props:{code:"JTIzJTIwQ2xvbmUlMjB0aGUlMjBtbC1hZ2VudHMlMjByZXBvc2l0b3J5JTBBZ2l0JTIwY2xvbmUlMjBodHRwcyUzQSUyRiUyRmdpdGh1Yi5jb20lMkZVbml0eS1UZWNobm9sb2dpZXMlMkZtbC1hZ2VudHMuZ2l0JTBBY2QlMjBtbC1hZ2VudHMlMEElMEElMjMlMjBJbnN0YWxsJTIwbWxhZ2VudHMtZW52cyUyMGZyb20lMjBzb3VyY2UlMEFwaXAlMjBpbnN0YWxsJTIwLWUlMjAuJTJGbWwtYWdlbnRzLWVudnMlMEElMEElMjMlMjBJbnN0YWxsJTIwdGhlJTIwZnVsbCUyMG1sLWFnZW50cyUyMHBhY2thZ2UlMEFwaXAlMjBpbnN0YWxsJTIwLWUlMjAuJTJGbWwtYWdlbnRz",highlighted:`<span class="hljs-comment"># Clone the ml-agents repository</span>
	git <span class="hljs-built_in">clone</span> https://github.com/Unity-Technologies/ml-agents.git
	<span class="hljs-built_in">cd</span> ml-agents

	<span class="hljs-comment"># Install mlagents-envs from source</span>
	pip install -e ./ml-agents-envs

	<span class="hljs-comment"># Install the full ml-agents package</span>
	pip install -e ./ml-agents`,lang:"bash",wrap:!1}}),It=new m({props:{title:"Caveats",local:"caveats",headingTag:"h2"}}),Bt=new m({props:{title:"Dependencies",local:"dependencies",headingTag:"h2"}}),Rt=new m({props:{title:"References",local:"references",headingTag:"h2"}}),Zt=new 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Xet Storage Details

Size:: 72.5 kB
Xet hash:: c40a7a511f4e44abb0028c45502c34a7574ac4fa8b93d3bddaad1dde0c647640

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.