# proroklab/VectorizedMultiAgentSimulator

<https://repo.masters-masters.com/en/repos/proroklab/VectorizedMultiAgentSimulator>

[Home](https://repo.masters-masters.com/en) › [proroklab](https://repo.masters-masters.com/en/owners/proroklab) › [VectorizedMultiAgentSimulator](https://repo.masters-masters.com/en/repos/proroklab/VectorizedMultiAgentSimulator)

proroklab/VectorizedMultiAgentSimulator has 628 stars on GitHub. Its RepoMasters card: Alpha tier. VMAS is a vectorized differentiable simulator designed for…

| Field | Value |
| --- | --- |
| Owner | [proroklab](https://repo.masters-masters.com/en/owners/proroklab) |
| Stars | 628 |
| Forks | 115 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2022 |
| Topics | gym, gym-environment, marl, multi-agent, multi-agent-learning, multi-agent-reinforcement-learning, multi-agent-simulation, multi-agent-systems, multi-robot, multi-robot-framework |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [proroklab/VectorizedMultiAgentSimulator](https://github.com/proroklab/VectorizedMultiAgentSimulator) |

## Repository

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 mod…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.