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.
☆562Feb 8, 2026Updated 2 months ago
Alternatives and similar repositories for VectorizedMultiAgentSimulator
Users that are interested in VectorizedMultiAgentSimulator are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆612Feb 7, 2026Updated 2 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆711Sep 24, 2024Updated last year
- ☆308Feb 15, 2024Updated 2 years ago
- Multi-Agent Reinforcement Learning with JAX☆795Apr 21, 2026Updated last week
- Heterogeneous Multi-Robot Reinforcement Learning☆71Nov 10, 2025Updated 5 months ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆331Nov 16, 2025Updated 5 months ago
- A suite of test scenarios for multi-agent reinforcement learning.☆818Apr 9, 2026Updated 2 weeks ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,310Nov 28, 2024Updated last year
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆905Apr 21, 2026Updated last week
- The Starcraft Multi-Agent challenge lite☆47Sep 13, 2024Updated last year
- A tool for aggregating and plotting MARL experiment data.☆84Apr 13, 2026Updated 2 weeks ago
- This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralize…☆44Sep 24, 2023Updated 2 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,396Updated this week
- Datasets with baselines for Offline MARL.☆214Nov 2, 2025Updated 5 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆426Sep 15, 2024Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,984Jul 18, 2024Updated last year
- Repository containing RL environment, model and trainer for GNN demo for ICRA 2022 paper "A Framework for Real-World Multi-Robot Systems\…☆45Mar 21, 2022Updated 4 years ago
- Official implementation of HARL algorithms based on PyTorch.☆897Apr 27, 2025Updated last year
- Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams☆51Jan 11, 2022Updated 4 years ago
- This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…☆31Dec 21, 2024Updated last year
- Efficient baselines for autocurricula in JAX.☆212Aug 24, 2024Updated last year
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,411Updated this week
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆277Sep 22, 2025Updated 7 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Really Fast End-to-End Jax RL Implementations☆1,062Sep 9, 2024Updated last year
- Official code repo for the MARL book (www.marl-book.com)☆635Mar 30, 2025Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,739Sep 8, 2022Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆208Sep 15, 2024Updated last year
- A collection of multi agent environments based on OpenAI gym.☆630Jul 7, 2024Updated last year
- A parallel framework for population-based multi-agent reinforcement learning.☆550Dec 14, 2023Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆370Mar 16, 2023Updated 3 years ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆264Oct 31, 2025Updated 5 months ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,345Feb 18, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆46Jul 7, 2025Updated 9 months ago
- Partially Observable Process Gym☆214Jun 12, 2025Updated 10 months ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Oct 16, 2025Updated 6 months ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆122Oct 7, 2025Updated 6 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,182Dec 8, 2022Updated 3 years ago
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆827Apr 13, 2026Updated 2 weeks ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆58Jan 20, 2023Updated 3 years ago