PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
☆539Jul 21, 2023Updated 2 years ago
Alternatives and similar repositories for off-policy
Users that are interested in off-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:
- This is the official implementation of Multi-Agent PPO (MAPPO).☆2,020Jul 18, 2024Updated last year
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆737Oct 13, 2022Updated 3 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,744Sep 8, 2022Updated 3 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆711May 18, 2024Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,197Dec 8, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆863May 12, 2026Updated 3 weeks ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,329Nov 28, 2024Updated last year
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆691Nov 26, 2019Updated 6 years ago
- Official implementation of HARL algorithms based on PyTorch.☆919Apr 27, 2025Updated last year
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,767Apr 9, 2024Updated 2 years ago
- ☆508Dec 28, 2023Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆721Sep 24, 2024Updated last year
- ☆227Jun 4, 2023Updated 3 years ago
- PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Gr…☆250Oct 23, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆681Jul 16, 2022Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆229Apr 17, 2024Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆807May 29, 2022Updated 4 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆552Dec 14, 2023Updated 2 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,977Apr 1, 2024Updated 2 years ago
- ☆114Oct 25, 2021Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆175Oct 24, 2023Updated 2 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…