multi-agent-reinforcement-learning

There are 55 repositories under multi-agent-reinforcement-learning topic.

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 2451
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 1992
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 1365
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.
ai artificial-intelligence chatgpt gpt-4 large-language-models multi-agent multi-agent-reinforcement-learning multi-agent-simulation natural-language-processing python
Language:Python 1284
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 827
Replicable-MARL / MARLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
deep-reinforcement-learning multi-agent-reinforcement-learning pytorch ray rllib
Language:Python 821
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 669
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 588
AgileRL
AgileRL / AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
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 540
xuance
agi-brain / xuance
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
multi-agent-reinforcement-learning reinforcement-learning reinforcement-learning-library decision-making mindspore pytorch tensorflow2 atari mujoco mpe a2c ddpg dqn maddpg starcraft2 magent google-research-football mappo qmix ppo
Language:Python 513
minqi / learning-to-communicate-pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
deep-learning deep-reinforcement-learning deepmind dqn drl drqn emergent-behavior multi-agent-reinforcement-learning multi-agent-systems recurrent-neural-networks reinforcement-learning rl
Language:Python 340
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 314
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 303
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 robotics simulation simulator vectorization vectorized
Language:Python 280
philtabor / Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
actor-critic-algorithm actor-critic-methods deep-reinforcement-learning maddpg multi-agent-reinforcement-learning reinforcement-learning
Language:Python 276
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
266
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 265
semitable / robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
environment multi-agent multi-agent-reinforcement-learning multi-agent-systems reinforcement-learning robotics simulation
Language:Python 264
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 201
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 191
illidanlab / Simulator
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
fleet-management multi-agent-reinforcement-learning simulator
Language:Python 188
facebookresearch / BenchMARL
A collection of MARL benchmarks based on TorchRL
benchmark machine-learning marl multi-agent multi-agent-reinforcement-learning pytorch reinforcement-learning rl robotics torch
Language:Python 186
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 176
Future-Power-Networks / MAPDN
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
active-voltage-control distribution-networks multi-agent-reinforcement-learning reinforcement-learning-environments voltage-control
Language:Python 169
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 152
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.
double-auction financial-engineering gym-environment high-frequency-trading limit-order-book lstm market-microstructure marl multi-agent-reinforcement-learning n-player ppo quantitative-finance quantitative-trading ray rllib self-play zero-sum zero-sum-games
Language:Jupyter Notebook 137
chauncygu / Multi-Agent-Constrained-Policy-Optimisation
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
policy-optimization safe-reinforcement-learning multi-agent-reinforcement-learning
Language:Python 129
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 116
decisionforce / CoPO
[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".
multi-agent-reinforcement-learning
Language:Jupyter Notebook 113
TensorSwarm / TensorSwarm
TensorSwarm: A framework for reinforcement learning of robot swarms.
reinforcement-learning reinforcement-learning-algorithms swarm-robotics swarm-intelligence-algorithms tensorflow robotics multi-agent multi-agent-reinforcement-learning
Language:Python 111
hsvgbkhgbv / SQDDPG
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
reinforcement-learning multi-agent-reinforcement-learning framework policy-gradient openai-gym pytorch multiagent-reinforcement-learning sqddpg shapley-q-value marl multi-agent-rl
Language:Python 109
isp1tze / MAProj
Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
bicnet commnet maddpg multi-agent-reinforcement-learning pytorch
Language:Python 109
instadeepai / og-marl
:battery: Datasets with baselines for offline multi-agent reinforcement learning.
multi-agent-reinforcement-learning reinforcement-learning offline-reinforcement-learning
Language:Python 103
TARTRL / TiKick
Learning-based agent for Google Research Football (足球游戏智能体)
pytorch google-research-football reinforcement-learning multi-agent-reinforcement-learning
Language:Python 103
jimmyyhwu / spatial-intention-maps
Learning multi-agent robotic mobile manipulation with deep reinforcement learning
spatial-intention-maps mobile-manipulation robotics multi-agent-reinforcement-learning deep-reinforcement-learning dqn pybullet pytorch anki-vector spatial-action-maps
Language:Python 92
Shanghai-Digital-Brain-Laboratory / DB-Football
A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.
distributed google-research-football multi-agent-reinforcement-learning ray football reinforcement-learning mappo ppo pytorch psro league-training
Language:Python 91

multi-agent-reinforcement-learning

Farama-Foundation / PettingZoo

pytorch / rl

starry-sky6688 / MARL-Algorithms

Farama-Foundation / chatarena

microsoft / maro

Replicable-MARL / MARLlib

instadeepai / Mava

OpenRL-Lab / openrl

AgileRL / AgileRL

agi-brain / xuance

minqi / learning-to-communicate-pytorch

praveen-palanisamy / macad-gym

accel-brain / accel-brain-code

proroklab / VectorizedMultiAgentSimulator

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

Allenpandas / Reinforcement-Learning-Papers

opendilab / DI-engine-docs

semitable / robotic-warehouse

opendilab / ACE

ArnaudFickinger / gym-multigrid

illidanlab / Simulator

facebookresearch / BenchMARL

yangchen1997 / Multi-Agent-Reinforcement-Learning

Future-Power-Networks / MAPDN

fangvv / VN-MADDPG

ChuaCheowHuan / gym-continuousDoubleAuction

chauncygu / Multi-Agent-Constrained-Policy-Optimisation

JohannesAck / tf2multiagentrl

decisionforce / CoPO

TensorSwarm / TensorSwarm

hsvgbkhgbv / SQDDPG

isp1tze / MAProj

instadeepai / og-marl

TARTRL / TiKick

jimmyyhwu / spatial-intention-maps

Shanghai-Digital-Brain-Laboratory / DB-Football