This is the official implementation of Multi-Agent PPO (MAPPO).
☆2,063Jul 18, 2024Updated 2 years ago
Alternatives and similar repositories for on-policy
Users that are interested in on-policy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆546Jul 21, 2023Updated 3 years ago
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆876May 12, 2026Updated 2 months ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,754Sep 8, 2022Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,208Dec 8, 2022Updated 3 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,773Apr 9, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Official implementation of HARL algorithms based on PyTorch.☆940Apr 27, 2025Updated last year
- SMAC: The StarCraft Multi-Agent Challenge☆1,363Feb 18, 2024Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆730Sep 24, 2024Updated last year
- ☆511Dec 28, 2023Updated 2 years ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆739Oct 13, 2022Updated 3 years ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,341Nov 28, 2024Updated last year
- ☆227Jun 4, 2023Updated 3 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆709May 18, 2024Updated 2 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,983Apr 1, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆688Nov 26, 2019Updated 6 years ago
- A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,477Updated this week
- A parallel framework for population-based multi-agent reinforcement learning.☆553Dec 14, 2023Updated 2 years ago
- ☆322Feb 15, 2024Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆373Mar 16, 2023Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆807May 29, 2022Updated 4 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,858Feb 11, 2026Updated 5 months ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆76Jun 9, 2023Updated 3 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆683Jul 16, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆748May 23, 2022Updated 4 years ago
- ☆116Oct 25, 2021Updated 4 years ago
- This is the official implementation of Multi-Agent PPO.☆149Jan 17, 2023Updated 3 years ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆644Feb 7, 2026Updated 5 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆233Apr 17, 2024Updated 2 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,352Feb 20, 2026Updated 5 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆750Jul 7, 2026Updated 2 weeks ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆691Jun 5, 2018Updated 8 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆173Jan 7, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆170Dec 8, 2022Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,903May 29, 2022Updated 4 years ago
- ☆105Nov 13, 2020Updated 5 years ago
- An elegant PyTorch deep reinforcement learning library.☆10,882Apr 3, 2026Updated 3 months ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆80Mar 25, 2022Updated 4 years ago
- Code for Weighted QMIX☆148Nov 12, 2020Updated 5 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆88Dec 17, 2024Updated last year