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
Run simulations to test how multiple agents interact in a physics-based environment.
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VectorizedMultiAgentSimulator has 588 stars on GitHub. It has been forked 112 times. VectorizedMultiAgentSimulator is written mainly in Python. It has been in active development since 2022. VectorizedMultiAgentSimulator is available under the GPL-3.0 license. Its main topics are gym, gym-environment, marl, multi-agent.
What is 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
Is VectorizedMultiAgentSimulator open source?
VectorizedMultiAgentSimulator is an open-source project. It is released under the GPL-3.0 license.
Is VectorizedMultiAgentSimulator free?
Yes. VectorizedMultiAgentSimulator is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does VectorizedMultiAgentSimulator use?
VectorizedMultiAgentSimulator is available under the GPL-3.0 license.
What language is VectorizedMultiAgentSimulator written in?
VectorizedMultiAgentSimulator is written mainly in Python.
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