multi-agent-reinforcement-learning

There are 70 repositories under multi-agent-reinforcement-learning topic.

forge
antinomyhq / forge
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models
ai-workflows artifical-intelligense claude-3-7-sonnet command-line multi-agent-reinforcement-learning shell grok open-router openai qwen claude-4 claude-4-sonnet ai-pair-programming llm cli-assistant open-source-claude-code
Language:Rust 4553
PettingZoo
Farama-Foundation / PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
api gym gymnasium multi-agent-reinforcement-learning multiagent-reinforcement-learning reinforcement-learning
Language:Python 3178
rl
pytorch / rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
ai control decision-making distributed-computing machine-learning marl model-based-reinforcement-learning multi-agent-reinforcement-learning pytorch reinforcement-learning rl robotics torch
Language:Python 3155
starry-sky6688 / MARL-Algorithms
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
deep-reinforcement-learning multi-agent-reinforcement-learning reinforcement-learning
Language:Python 1672
Farama-Foundation / chatarena
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
large-language-models multi-agent natural-language-processing multi-agent-reinforcement-learning multi-agent-simulation ai python artificial-intelligence chatgpt gpt-4
Language:Python 1515
Replicable-MARL / MARLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
multi-agent-reinforcement-learning ray rllib pytorch deep-reinforcement-learning
Language:Python 1201
xuance
agi-brain / xuance
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
multi-agent-reinforcement-learning reinforcement-learning reinforcement-learning-library mindspore pytorch tensorflow2 atari mujoco mpe a2c ddpg dqn maddpg starcraft2 magent google-research-football mappo qmix ppo
Language:Python 979
maro
microsoft / maro
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
reinforcement-learning multi-agent-reinforcement-learning multi-agent simulator resource-optimization operations-research citi-bike inventory-management logistics raas rl-algorithms maro agent docker finance transportation
Language:Python 900
instadeepai / Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
research multi-agent-reinforcement-learning multi-agent-systems multiagent marl reinforcement-learning jax
Language:Python 852
AgileRL
AgileRL / AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
reinforcement-learning deep-reinforcement-learning deep-learning rlops evolutionary-algorithms machine-learning pytorch gym hpo python training mlops hyperparameter-optimization hyperparameter-tuning agilerl multi-agent multi-agent-reinforcement-learning pettingzoo automl distributed
Language:Python 841
OpenRL-Lab / openrl
Unified Reinforcement Learning Framework
distributed-reinforcement-learning embodied google-research-football gym gymnasium multi-agent-reinforcement-learning pytorch reinforcement-learning robotics self-playing autodrive embodied-ai game-ai mcts-algorithm atari mujoco llm llm-as-agent
Language:Python 786
facebookresearch / BenchMARL
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.
benchmark machine-learning marl multi-agent multi-agent-reinforcement-learning pytorch reinforcement-learning rl robotics torch
Language:Python 502
VectorizedMultiAgentSimulator
proroklab / VectorizedMultiAgentSimulator
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.
gym gym-environment marl multi-agent multi-agent-learning multi-agent-reinforcement-learning multi-agent-simulation multi-agent-systems multi-robot multi-robot-framework multi-robot-sim multi-robot-simulator multi-robot-systems pytorch rllib simulator vectorization vectorized robotics simulation
Language:Python 477
semitable / robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
reinforcement-learning robotics simulation environment multi-agent-systems multi-agent-reinforcement-learning multi-agent
Language:Python 393
macad-gym
praveen-palanisamy / macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
multi-agent-reinforcement-learning autonomous-driving multi-agent-autonomous-driving carla-gym macad-gym carla carla-rl carla-reinforcement-learning gym-environments deep-reinforcement-learning carla-simulator carla-driving-simulator
Language:Python 368
philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
reinforcement-learning actor-critic-methods maddpg multi-agent-reinforcement-learning deep-reinforcement-learning actor-critic-algorithm
Language:Python 365
minqi / learning-to-communicate-pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
rl reinforcement-learning deep-reinforcement-learning multi-agent-reinforcement-learning multi-agent-systems drl deep-learning deepmind emergent-behavior recurrent-neural-networks dqn drqn
Language:Python 357
Allenpandas / Reinforcement-Learning-Papers
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
deep-reinforcement-learning reinforcement-learning dqn imitation-learning multi-agent-reinforcement-learning policy-gradient q-learning artificial-intelligence reinforcement-learning-papers reinforcement-learning-conferences rl-papers aaai icml ijcai reinforcement-learning-conferences-papers reinforcement-learning-paper neurips hierarchical-reinforcement-learning meta-reinforcement-learning offline-reinforcement-learning
346
TsinghuaC3I / MARTI
A Framework for LLM-based Multi-Agent Reinforced Training and Inference
autogen camel deepseek-r1 gemma large-language-models large-reasoning-models llama multi-agent-reinforcement-learning multi-agent-systems openrlhf qwen verl
Language:Python 335
accel-brain / accel-brain-code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
automatic-summarization deep-learning deep-reinforcement-learning reinforcement-learning q-learning restricted-boltzmann-machine simulated-annealing quantum-monte-carlo quantum-annealing auto-encoder combinatorial-optimization transfer-learning lstm multi-agent-reinforcement-learning deep-q-network semi-supervised-learning generative-adversarial-network energy-based-model self-supervised-learning
Language:Python 320
fangvv / VN-MADDPG
Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"
ddpg ddpg-algorithm dqn maddpg deep-reinforcement-learning multi-agent-reinforcement-learning reinforcement-learning vehicular-networks v2i v2v vanet
Language:Python 311
opendilab / DI-engine-docs
DI-engine docs (Chinese and English)
reinforcement-learning reinforcement-learning-algorithms imitation-learning inverse-reinforcement-learning multi-agent-reinforcement-learning offline-rl model-based-reinforcement-learning deep-learning pytorch-rl
Language:Python 309
asieradzk / RL_Matrix
Deep Reinforcement Learning in C#
cartpole deep-learning deep-reinforcement-learning dotnet dqn machine-learning multi-agent multi-agent-reinforcement-learning multi-environment ppo proximal-policy-optimization reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms reinforcement-learning-environments sac soft-actor-critic gail gail-ppo
Language:C# 289
Future-Power-Networks / MAPDN
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
multi-agent-reinforcement-learning voltage-control active-voltage-control reinforcement-learning-environments distribution-networks
Language:Python 288
yangchen1997 / Multi-Agent-Reinforcement-Learning
PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.
multi-agent-reinforcement-learning pettingzoo pytorch qmix centralized-ppo grid-wise-control independent-ppo
Language:Python 240
opendilab / ACE
[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
gfootball multi-agent multi-agent-reinforcement-learning reinforcement-learning smac
Language:Python 220
illidanlab / Simulator
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
multi-agent-reinforcement-learning simulator fleet-management
Language:Python 214
ArnaudFickinger / gym-multigrid
Lightweight multi-agent gridworld Gym environment
gridworld gridworld-environment gym gym-environment multi-agent multi-agent-reinforcement-learning multi-agent-systems multiagent-reinforcement-learning multiagent-systems multiplayer-game
Language:Python 211
UnrealZoo / unrealzoo-gym
[ICCV 2025 Highlights] Large-scale photo-realistic virtual worlds for embodied AI
data-generation embodied-ai multi-agent-reinforcement-learning simulator social-intelligence spatial-intelligence unreal-engine unrealcv virtual-worlds
Language:Python 206
chauncygu / Multi-Agent-Constrained-Policy-Optimisation
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
multi-agent-reinforcement-learning policy-optimization safe-reinforcement-learning
Language:Python 201
instadeepai / og-marl
Datasets with baselines for Offline MARL.
multi-agent-reinforcement-learning reinforcement-learning offline-reinforcement-learning
Language:Python 185
Allenpandas / Tutorial4RL
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
a3c ddpg deep-reinforcement-learning dqn multi-agent-systems policy-gradient qlearning reinforcement-learning sarsa tutorial reinforcementlearning-tutorial rl-tutorial inverse-reinforcement-learning multi-agent-reinforcement-learning
171
JohannesAck / tf2multiagentrl
Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
multi-agent-reinforcement-learning reinforcement-learning tensorflow2
Language:Python 161
spiral-rl / spiral
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
large-language-models multi-agent-reinforcement-learning reinforcement-learning self-play
Language:Python 161
ChuaCheowHuan / gym-continuousDoubleAuction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
multi-agent-reinforcement-learning gym-environment limit-order-book high-frequency-trading ray rllib market-microstructure financial-engineering self-play double-auction ppo zero-sum-games zero-sum quantitative-finance quantitative-trading marl n-player lstm
Language:Jupyter Notebook 149
IDSIA / hhmarl_2D
Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat
air-combat heterogeneous-agents hierarchical-reinforcement-learning multi-agent-reinforcement-learning
Language:Python 145

multi-agent-reinforcement-learning

antinomyhq / forge

Farama-Foundation / PettingZoo

pytorch / rl

starry-sky6688 / MARL-Algorithms

Farama-Foundation / chatarena

Replicable-MARL / MARLlib

agi-brain / xuance

microsoft / maro

instadeepai / Mava

AgileRL / AgileRL

OpenRL-Lab / openrl

facebookresearch / BenchMARL

proroklab / VectorizedMultiAgentSimulator

semitable / robotic-warehouse

praveen-palanisamy / macad-gym

philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients

minqi / learning-to-communicate-pytorch

Allenpandas / Reinforcement-Learning-Papers

TsinghuaC3I / MARTI

accel-brain / accel-brain-code

fangvv / VN-MADDPG

opendilab / DI-engine-docs

asieradzk / RL_Matrix

Future-Power-Networks / MAPDN

yangchen1997 / Multi-Agent-Reinforcement-Learning

opendilab / ACE

illidanlab / Simulator

ArnaudFickinger / gym-multigrid

UnrealZoo / unrealzoo-gym

chauncygu / Multi-Agent-Constrained-Policy-Optimisation

instadeepai / og-marl

Allenpandas / Tutorial4RL

JohannesAck / tf2multiagentrl

spiral-rl / spiral

ChuaCheowHuan / gym-continuousDoubleAuction

IDSIA / hhmarl_2D