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<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
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<a href="#core-requirements-guides" class="md-nav__link">
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Core Requirements & Guides
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Repository Structure
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Core Requirements & Guides
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Repository Structure
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<h1 id="documentation">Documentation</h1>
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<p>Welcome to the Brittle Star project documentation. This codebase contains the implementations and research for the scientific evaluation of controller modularity in brittle-star-like robots trained using Reinforcement Learning.</p>
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<p>For the core codebase, scripts, and contribution history, visit our <a href="https://github.com/SELab-3-2026/SEL3-2026-Groep-4">GitHub Repository</a>.</p>
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<h2 id="core-requirements-guides">Core Requirements & Guides</h2>
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<ul>
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<li><strong><a href="DEVELOPMENT/">Installation Instructions</a></strong>: Steps to set up your development environment locally or in a devcontainer using <code>uv</code>, including GPU configuration. For High-Performance Computing (HPC) setup details, see the <strong><a href="HPC/">HPC Guide</a></strong>.</li>
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<li><strong><a href="api/training/">How to Run Experiments</a></strong>: A complete guide on running training jobs, setting custom hyperparameters, and overriding config options using Hydra.</li>
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<li><strong><a href="api/training/#reproducing-experiments">Reproducing Experiments</a></strong>: Best practices for reproducing past training runs using exact seeds, dependencies, and automatic metadata logging.</li>
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<li><strong><a href="#repository-structure">Repository Structure</a></strong>: Overview of the directories and files within the codebase.</li>
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</ul>
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<h2 id="repository-structure">Repository Structure</h2>
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<div class="highlight"><pre><span></span><code>.
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├── configs/ # Hydra configuration files (YAML)
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├── docs/ # Comprehensive documentation and API guides
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├── runs/ # Default output directory for Hydra and training artifacts
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├── scripts/ # High-level entrypoints for training, simulation, and evaluation
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├── src/
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│ ├── brittle_star_project/ # Core library and environment logic
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│ │ ├── evaluation/ # Checkpoint evaluation, rollout logic, and metrics persistence
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│ │ └── trainers/ # Training loop implementations (e.g., PPO)
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│ └── experiment_logger/ # Standalone logging package
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└── tests/ # Unit and integration tests
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</code></pre></div>
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<h2 id="design-architecture-design">Design & architecture (<code>/design</code>)</h2>
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<p>If you are interested in the "why did you do it like this?"</p>
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<ul>
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