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density-driven-multi-agent-control

Stochastic Density-Driven Optimal Control (D²OC) for multi-agent systems. A rigorous Lagrangian framework for decentralized non-uniform area coverage using Wasserstein distance minimization. Use for: multi-agent coverage control, swarm robotics, distributed optimization, stochastic MPC, area coverage missions with spatial priority. Activation: D2OC, density-driven control, multi-agent coverage, swarm control, Wasserstein distance control.

Repo bundle on Versuzhiyenwong/ai_collection1001 indexed entries (SKILL.md and CLAUDE.md) from this repository — open the full bundle view.

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§ 01 — Stats

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§ 02 — Install

Get density-driven-multi-agent-control.

Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.

One-line install · Claude Code

$npx versuz@latest install hiyenwong-ai-collection-collection-skills-density-driven-multi-agent-control

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$git clone https://github.com/hiyenwong/ai_collection.git

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§ 05 — Challenge

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