proroklab/VectorizedMultiAgentSimulator
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 modular interface.
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proroklab/VectorizedMultiAgentSimulator has +1 stars this period . 7-day velocity: 0.2%.
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| Metric | VectorizedMultiAgentSimulator | openchatbi | agentlabs | claude_agent_teams_ui |
|---|---|---|---|---|
| Stars | 546 | 546 | 545 | 547 |
| Forks | 105 | 70 | 52 | 138 |
| Weekly Growth | +1 | +0 | +0 | +6 |
| Language | Python | Python | TypeScript | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | GPL-3.0 | MIT | Apache-2.0 | AGPL-3.0 |
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Last code push 59 days ago.
Fork-to-star ratio: 19.2%. Active community forking and contributing.
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+1 stars this period — 0.18% growth rate.
Licensed under GPL-3.0. Copyleft — check compatibility requirements.
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