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vmas-simulator-guide
Vectorized multi-agent reinforcement learning simulator
skills/domains/ai-ml/vmas-simulator-guide/SKILL.md
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# VMAS: Vectorized Multi-Agent Simulator Guide
## Overview
VMAS is a vectorized simulator for multi-agent reinforcement learning (MARL) that runs thousands of parallel environments on GPU via PyTorch. It provides a diverse set of 2D cooperative, competitive, and mixed scenarios for benchmarking multi-agent algorithms. Orders of magnitude faster than CPU-based simulators, enabling rapid research iteration on multi-agent coordination problems.
## Installation
```bash
pip install vmas
```
## Quick Start