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.
proroklab/VectorizedMultiAgentSimulator
View on GitHub ↗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.
VectorizedMultiAgentSimulator grew +1.8% in the last 30 days, ranks 261st of 1,001 in Multi-Agent Orchestration, last commit 156 days ago.
Star trajectory
124 days tracked+1.8% in 30d, above the Multi-Agent Orchestration median of +1.5%.
Last commit 156 days ago, staler than the median of 7d.
How it compares in Multi-Agent Orchestration
Ranked 261st of 1,001 by stars.
- Language
- Python
- License
- GNU General Public License v3.0
- Contributors
- 17
- Forks
- 114
- Watchers
- 7
- Open issues
- 7
- Releases
- 25
- Created
- 2022-05-12
- Stars this week
- +3
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