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swarp · ddebenedittis

Differentiable, vectorized 2D multi-agent simulator built on NVIDIA Warp.

autograddifferentiable-simulationgpu-computingmulti-agent-simulationnvidia-warp
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swarp · ddebenedittis resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Differentiable, vectorized 2D multi-agent simulator built on NVIDIA Warp.

Publisher summary: “GPU-resident, differentiable, vectorized 2D multi-agent simulator built on NVIDIA Warp with zero-copy PyTorch interop.”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
ddebenedittis
Primary language
Python
Repository code license
MIT
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2026-10-01

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • What is swarp?
  • Highlights
  • Install
  • Quickstart
  • Documentation
  • Benchmarks

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