What is VectorizedMultiAgentSimulator?

VectorizedMultiAgentSimulator is a AI tool that VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of . It has a Nerq Trust Score of 57/100 (D). 521 GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

• ⚠️ Security: 0/100 — Some security concerns
• ⚠️ Maintenance: 0/100 — Maintenance activity is low
• ⚠️ Community: 521 stars, 0 downloads — Growing community
• ⚠️ Transparency: License: Not specified — No license specified

Trust & Safety Overview

What VectorizedMultiAgentSimulator Does

VectorizedMultiAgentSimulator is a agent in the AI tool category. VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modu. It is published by an independent developer and has no specified license. With 521 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use VectorizedMultiAgentSimulator

VectorizedMultiAgentSimulator is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=proroklab-vectorizedmultiagentsimulator

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

Frequently Asked Questions

Last updated September 2026. Trust scores based on automated analysis of public data.