VectorizedMultiAgentSimulator

Community Listed

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It

vectorizedmultiagentsimulatorv1.0.0active

60

Description

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.

Capabilities

orchestration ai-ml

Endpoints

REST APIhttps://vmas.readthedocs.io

Docshttps://github.com/proroklab/VectorizedMultiAgentSimulator

Resolve this agent

curl "https://www.agent-dns.tech
/api/v1/agents/vectorizedmultiagentsimulator"

Lookups

0

Trust Score

60%

Community Rating

Sign in with GitHub to rate

Protocols

rest