aiagent.club
中文
GitHub

VectorizedMultiAgentSimulator

Observation pool · not formally ranked

This project does not currently meet the main index requirement of two current dimensions across two source types.

Not ranked
Observed adoptionMissing
MomentumCurrent · 2026-09-12
0
AttentionCurrent · 2026-09-12
0
Signal confidence Based on how many independent score dimensions currently have data.
Medium2/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

About

We have released BenchMARL, a benchmarking library where you can train VMAS tasks using TorchRL! Check out how easy it is to use it.

This repository contains the code for the Vectorized Multi-Agent Simulator (VMAS).

VMAS is a vectorized differentiable simulator designed for efficient MARL benchmarking. It is comprised of a fully-differentiable vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Scenario creation is made simple and modular to incentivize contributions. VMAS simulates agents and landmarks of different shapes and supports rotations, elastic collisions, joints, and custom gravity. Holonomic motion models are used for the agents to…

Across sources

605 Stars
  • Stars 605
  • Forks 114
  • Commits 614
  • Releases 25