BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
☆586Feb 7, 2026Updated last month
Alternatives and similar repositories for BenchMARL
Users that are interested in BenchMARL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆534Feb 8, 2026Updated last month
- Multi-Agent Reinforcement Learning with JAX☆772Jan 14, 2026Updated 2 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆702Sep 24, 2024Updated last year
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,285Nov 28, 2024Updated last year
- A tool for aggregating and plotting MARL experiment data.☆84Jan 26, 2026Updated last month
- ☆297Feb 15, 2024Updated 2 years ago
- Official implementation of HARL algorithms based on PyTorch.☆876Apr 27, 2025Updated 10 months ago
- A suite of test scenarios for multi-agent reinforcement learning.☆805Mar 12, 2026Updated last week
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,341Updated this week
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,915Jul 18, 2024Updated last year
- Datasets with baselines for Offline MARL.☆204Nov 2, 2025Updated 4 months ago
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆887Feb 26, 2026Updated 3 weeks ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆120Oct 7, 2025Updated 5 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,167Dec 8, 2022Updated 3 years ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆56Jan 20, 2023Updated 3 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,351Feb 6, 2026Updated last month
- JAX and PZ RL envs + algorithms for swarms of CrazyFlies☆95Aug 28, 2024Updated last year
- Really Fast End-to-End Jax RL Implementations☆1,032Sep 9, 2024Updated last year
- Official code repo for the MARL book (www.marl-book.com)☆619Mar 30, 2025Updated 11 months ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆711May 18, 2024Updated last year
- A parallel framework for population-based multi-agent reinforcement learning.☆550Dec 14, 2023Updated 2 years ago
- This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…☆29Dec 21, 2024Updated last year
- SocialJax: sequential social dilemma environments☆73Mar 10, 2026Updated last week
- Official code for "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"☆17Mar 1, 2023Updated 3 years ago
- ☆74Dec 19, 2023Updated 2 years ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆325Nov 16, 2025Updated 4 months ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,730Sep 8, 2022Updated 3 years ago
- ☆257Mar 11, 2026Updated last week
- SMAC: The StarCraft Multi-Agent Challenge☆1,333Feb 18, 2024Updated 2 years ago
- A collection of recent MARL papers☆106Nov 21, 2024Updated last year
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆817Mar 9, 2026Updated 2 weeks ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9,327Jul 8, 2025Updated 8 months ago
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆397Mar 1, 2026Updated 3 weeks ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,763Feb 11, 2026Updated last month
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆529Jul 21, 2023Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆222Apr 17, 2024Updated last year
- ☆492Dec 28, 2023Updated 2 years ago
- Partially Observable Process Gym☆213Jun 12, 2025Updated 9 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆209Sep 15, 2024Updated last year