MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...
☆167Apr 19, 2024Updated 2 years ago
Alternatives and similar repositories for deep-marl-toolkit
Users that are interested in deep-marl-toolkit are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,738Sep 8, 2022Updated 3 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆76Jun 9, 2023Updated 2 years ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆735Oct 13, 2022Updated 3 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,990Jul 18, 2024Updated last year
- Official implementation of HARL algorithms based on PyTorch.☆901Apr 27, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆227Apr 17, 2024Updated 2 years ago
- code for the accepted IEEE TITS paper: "Heuristic-based Multi-agent Deep Reinforcement Learning Approach for Coordinating Connected and A…☆37Jun 2, 2024Updated last year
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆853Oct 23, 2025Updated 6 months ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,313Nov 28, 2024Updated last year
- Code for Weighted QMIX☆147Nov 12, 2020Updated 5 years ago
- Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams☆51Jan 11, 2022Updated 4 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆716Sep 24, 2024Updated last year
- [ICLR 2024] Official Implementation of ACORM☆65Mar 26, 2024Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆80Mar 25, 2022Updated 4 years 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.
- Python Multi-Agent Reinforcement Learning framework☆2,187Dec 8, 2022Updated 3 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆174Jan 7, 2024Updated 2 years ago
- [ICML' 24] The PyTorch implementation of our paper: "Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforc…☆24May 29, 2024Updated last year
- (Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR…☆56May 23, 2024Updated last year
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆217Jun 6, 2022Updated 3 years ago
- PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Gr…☆248Oct 23, 2023Updated 2 years ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆565Feb 8, 2026Updated 3 months ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆101Nov 23, 2024Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆536Jul 21, 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.
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆12Feb 9, 2024Updated 2 years ago
- Scalable Opponent Shaping Experiments in JAX☆26Apr 13, 2024Updated 2 years ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆39May 11, 2022Updated 4 years ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆618Feb 7, 2026Updated 3 months ago
- There will be updates later☆89May 13, 2019Updated 6 years ago
- Multi-Agent Deep Reinforcement Learning for Collaborative Computation Offloading in Mobile Edge-Computing☆21May 29, 2025Updated 11 months ago
- A GitHub repository associated with paper "Learn to Earn: Enabling Coordination Within a Ride-Hailing Fleet"☆10Jun 22, 2020Updated 5 years ago
- Hybrid Action PPO in stable-baselines3☆19Jan 14, 2025Updated last year
- Soft-QMIX: Integrating Maximum Entropy For Monotonic Value Function Factorization☆15Jul 3, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 多智能体学习库☆22Dec 28, 2021Updated 4 years ago
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆19Dec 5, 2022Updated 3 years ago
- 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 Reinforcement Learning (MARL) papers with code☆428Sep 15, 2022Updated 3 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆298Sep 19, 2022Updated 3 years ago
- ☆15Oct 9, 2022Updated 3 years ago
- We implement MADDPG in a congestion env, and compare with several control groups to highlight the performance of MADDPG☆11Jul 14, 2021Updated 4 years ago