GitHub topics: multiagent-reinforcement-learning
FLAIROx/JaxMARL
Multi-Agent Reinforcement Learning with JAX
Language: Python - Size: 34.8 MB - Last synced at: 2 days ago - Pushed at: 8 days ago - Stars: 605 - Forks: 113

doesburg11/PredPreyGrass
Intelligent Artificial Life. Researching behavior by nature and nurture simulation, deploying multi-agent reinforcement learning and evolving generational inheritance.
Language: Python - Size: 2.09 GB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 20 - Forks: 4

bensugursoy/Drone-Swarm-RL-airsim-sb3
Training of Drone Swarms using StableBaselines3, PettingZoo, AirSim and UE4
Language: Python - Size: 2.86 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 4 - Forks: 1

nsidn98/InforMARL
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Language: Python - Size: 18.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 115 - Forks: 22

xujiuqing2023/marl-ppo-suite
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.
Language: Python - Size: 33.2 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 6 - Forks: 0

google-deepmind/meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
Language: Python - Size: 202 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 717 - Forks: 138

cityflow-project/CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Language: C++ - Size: 332 KB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 879 - Forks: 182

opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Language: Python - Size: 292 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 3,472 - Forks: 404

Jcorrieri/multiagent-gridworld
Deep Reinforcement Learning for Multi-Robot Path Planning using PyTorch, Ray RLlib, and Gymnasium.
Language: Python - Size: 142 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 3 - Forks: 0

pfeinsper/drone-swarm-search
The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.
Language: Python - Size: 44.3 MB - Last synced at: 7 days ago - Pushed at: 9 months ago - Stars: 47 - Forks: 7

Isorsgs/agent-gym
Agent Gym is a framework for training and evaluating intelligent agents, enabling high-quality data synthesis with a unified interface. 🌟🚀 Explore powerful capabilities today!
Language: Python - Size: 43.9 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

tigerneil/awesome-deep-rl
For deep RL and the future of AI.
Language: HTML - Size: 1.92 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 1,470 - Forks: 219

fzhu0628/FedHSA---Tighter-Rates-for-Heterogeneous-Federated-Stochastic-Approximation-under-Markovian-Sampling
This is the second paper of my PhD career. Focusing on the general stochastic approximation framework, it proposes a federated algorithm that finds the optimum of an average of contractive operators.
Language: Python - Size: 25.4 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

geru-scotland/echoes-of-gaia
An intelligent, multi-agent framework for artificial biome simulation.
Language: Python - Size: 186 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 2 - Forks: 0

salesforce/warp-drive 📦
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
Language: Python - Size: 12.9 MB - Last synced at: 17 days ago - Pushed at: 2 months ago - Stars: 488 - Forks: 79

bistoyek21-ric/StrikeForce
This project is a simple open-source battle royal game, which is an environment to develop AI models especially models related to Computer Vision, reinforcement learning and multi agent models
Language: C++ - Size: 646 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 1

jiachenli94/Awesome-Decision-Making-Reinforcement-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
Size: 30.3 KB - Last synced at: 26 days ago - Pushed at: almost 5 years ago - Stars: 225 - Forks: 45

Lauqz/Drone-Swarm-RL-airsim-sb3
Training of Drone Swarms using StableBaselines3, PettingZoo, AirSim and UE4
Language: Python - Size: 2.88 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 17 - Forks: 1

ankonzoid/LearningX
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Language: Python - Size: 3.88 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 360 - Forks: 185

elliottower/cathedral-rl
Interactive Multi-Agent Reinforcement Learning Environment for the board game Cathedral using PettingZoo
Language: Python - Size: 239 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 0

elliottower/gobblet-rl
Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.
Language: Python - Size: 37 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 0

ImanRHT/MultiAgentDRL4CollaborativeMEC
Multi-Agent Deep Reinforcement Learning for Collaborative Computation Offloading in Mobile Edge-Computing
Size: 858 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 1

pengyuan-zhou/Multi-agent-RL-traffic-light-control
Decentralized reinforcement learning for city-scale traffic light control
Language: Python - Size: 8.7 MB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 4

Farama-Foundation/PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Language: Python - Size: 176 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 2,936 - Forks: 438

legalaspro/marl-ppo-suite
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO and HAPPO with various techniques.
Language: Python - Size: 4.16 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

mit-wu-lab/IntersectionZoo
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Language: Jupyter Notebook - Size: 18.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 58 - Forks: 4

pfeinsper/drone-swarm-search-algorithms
Algorithms to solve the DSSE environment, focusing on optimizing drone swarm search and navigation for critical applications.
Language: Python - Size: 54 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 14 - Forks: 1

ImplicitLayer/agents_nlp
Agents for solving NLP problems
Language: Python - Size: 12.7 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1

real-stanford/decentralized-multiarm
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
Language: Python - Size: 127 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 153 - Forks: 25

mvervuurt/aikitchen
AI Engineering, Agents and Research!
Language: Python - Size: 1.35 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
Size: 292 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 4,319 - Forks: 746

cage-challenge/cage-challenge-4
The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterprise environment, and introduces a Multi-Agent Reinforcement Learning (MARL) scenario.
Language: Python - Size: 3.07 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 53 - Forks: 12

Ankur-Deka/Emergent-Multiagent-Strategies
Emergence of complex strategies through multiagent competition
Language: Python - Size: 30.6 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 44 - Forks: 12

RCL-NUS/Auto-Multilift
Auto-Multilift is a novel learning framework for cooperative load transportation with quadrotors. It can automatically tune various MPC hyperparameters, which are modeled by DNNs and difficult to tune manually, via reinforcement learning in a distributed and closed-loop manner.
Language: Python - Size: 279 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 25 - Forks: 7

Brusa99/R-MABM
The Rational-Macro Agent Based Model. A Python (multi-agent) reinforcement learning interface of the "CATS" model.
Language: Python - Size: 82 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 2

jackrcole/multi-agent-algos
CMSC818B Mini-Project #1: Multi-Agent Algorithms
Language: Jupyter Notebook - Size: 932 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

EzgiKorkmaz/adversarial-reinforcement-learning
Reading list for adversarial perspective and robustness in deep reinforcement learning.
Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 110 - Forks: 6

baskuit/R-NaD
Experimentation with Regularized Nash Dynamics on a GPU accelerated game
Language: Python - Size: 861 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 47 - Forks: 5

legalaspro/maddpg-zoo-torch
A modern implementation of MADDPG and MADDPG-Approx algorithms using PyTorch and PettingZoo environments. This project provides a clean, modular framework for multi-agent reinforcement learning research, featuring parallel training capabilities, comprehensive visualization tools, and support for various cooperative and competitive scenarios
Language: Python - Size: 13.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

AmanPriyanshu/PredatorPreyRL
Multi-Agent Communication in RL systems
Language: Python - Size: 8.74 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

NTU-ICG/POMA-CMTS
This is the official site for the paper POMA published in Advanced Intelligent Systems.
Language: Python - Size: 20.4 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

longtermrisk/marltoolbox
A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).
Language: Python - Size: 3.56 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 32 - Forks: 5

vishomallaoli/agentic-ai-swarm-rl
This repository contains my NeurIPS 2025 research submission on Agentic AI & Multi-Agent Reinforcement Learning (MARL) for decentralized swarm coordination. The goal is to train self-organizing AI agents using PPO & MADQN in PyBullet to collaborate, adapt, and optimize swarm intelligence.
Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ZooBeasts/TFstack-MARL-platform-designing-thin-films
TFstack is an MARL software-wise system which is aiming for inverse design, optimization that covering basically all thin films problems
Language: Python - Size: 134 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

mhyrzt/Simple-MADRL-Chess
MADRL project solving chess environment using PPO with two different methods: 2 agents/networks and a single agent/network.
Language: Python - Size: 7.74 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 3

Zhiyu014/MARL-UDS
Source code for the MARL-enabled real-time control of urban drainage system
Language: Python - Size: 677 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 1

smrizvi1/Multi-Agent-RL-with-Invalid-action-Masking
This repository contains code for the paper "Multi-agent reinforcement learning with action masking for uav-enabled mobile communications" which has been accepted for publishing in IEEE Transactions on Machine Learning in Communications and Networking.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

abrarfrahman/playbooks-demo
[Working Paper] Playbooks for Collaborative Intelligence: Investigating Misaligned Behaviors in Multi-Agent Systems Using Sports Analytics
Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

MichelangeloConserva/TotalWarSimulator
Total War Battle simulator for AI research
Language: C# - Size: 200 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 66 - Forks: 7

Manohara-Ai/Snake-Q-Learning
An experimental Snake game where a Deep Q-Network (DQN) agent learns to navigate the environment, avoid obstacles, and find food using reinforcement learning techniques.
Language: Python - Size: 590 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

IgorSadoune/algorithmic-collusion-and-the-minimum-price-markov-game
Repo associated with the paper: Algorithmic Collusion And The Minimum Price Markov Game
Language: Python - Size: 73.2 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ab93/multi-agent-collaboration
Deep Reinforcement Learning project for multiple collaborative agents.
Language: Jupyter Notebook - Size: 783 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

giangbang/Strong-Pareto-MARL
Source code for the paper "Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning"
Language: Python - Size: 673 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

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''.
Language: Python - Size: 142 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 113 - Forks: 42

cviaai/ADAIR
Adaptive Denoising and Alignment Agents for Infrared Imaging
Language: Python - Size: 3.97 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

timothewt/DeepRL
Implementation of some Deep Reinforcement Learning algorithms and environments.
Language: Python - Size: 112 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

jk96491/C-COMA
Continual Multi-agent Reinforcement Learning in Dynamic Environments
Language: Python - Size: 1.41 MB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 10 - Forks: 2

MichaelBosello/jason-RL
Framework for integrate BDI agents and Reinforcement Learning.
Language: Java - Size: 161 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 15 - Forks: 3

hishamcse/DRL-Renegades-Game-Bots
A collection of my implemented RL agents for games like Pacman, Pong, SpaceInvaders, Frozenlake, Taxi, Pixelcopter, Pyramids and a lot more by implementing various DRL algorithms using gym, unity-ml, pygame, sb3, rl-zoo and pandagym libraries. To see more advanced & interesting agents, please visit below link:
Language: Jupyter Notebook - Size: 120 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

SECNetLabUNM/HTransRL
Hybrid Transformer based Multi-agent Reinforcement Learning (HTransRL) is for drone coordination in air corridors, addressing the challenges of dynamic dimensions and types of state inputs, which cannot addressed by the traditional MARL.
Language: Python - Size: 97 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

Aliakbawr/pacman-multi-agent-rl
Multi-agent reinforcement learning algorithms to play the classic game of Pacman. The primary algorithms used include Q-learning, Minimax, and Alpha-beta pruning.
Language: Python - Size: 1.12 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

25349023/Language-Guided-Pattern-Formation
Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning.
Language: Python - Size: 20.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yashashwi-s/FFA-Pacman
CSoC week 4 assignment. A multi-agent environement built from scratch and trained.
Language: Python - Size: 129 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Nikunj-Gupta/conformal-agent-modelling
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
Language: Python - Size: 10.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 1

helpingstar/pika-zoo
Multi-agent RL environment for a pikachu-volleyball game based on Pettingzoo.
Language: Python - Size: 146 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

gml16/rl-medical
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Language: Python - Size: 190 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 75 - Forks: 20

yasirbarlas/tabular-deep-reinforcement-learning
We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.
Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

tomalner18/MAax
Procedural Environment Generation for Accelerated Multi-Agent Reinforcement Learning
Language: Python - Size: 23.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

DongmingShenDS/MAPF-MARL
This repository contains Dongming Shen's demonstration code and documentation for the research projects conducted at the IDM Lab, USC. The project focuses on integrating Multi-Agent Path Finding (MAPF) with Multi-Agent Reinforcement Learning (MARL) to explore efficient coordination strategies among autonomous agents in dynamic environments.
Language: Python - Size: 42.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

moratodpg/imp_marl
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
Language: Python - Size: 7.81 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 33 - Forks: 5

venishpatidar/spider-and-fly
This program aims to compare the performance of the Multiagent Rollout algorithm against the Ordinary Rollout algorithm and the Base Policy in the context of the Spiders and Flies problem.
Language: Python - Size: 1.67 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

tztsai/BS-Sleeping-RL
This repository presents a multi-agent reinforcement learning approach for energy-efficient collaborative control of base stations in 5G massive MIMO cellular networks.
Language: HTML - Size: 843 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 1

ArnaudFickinger/gym-multigrid
Lightweight multi-agent gridworld Gym environment
Language: Python - Size: 430 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 180 - Forks: 37

acforvs/multi-agent-pathfinding
Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with M*
Language: Python - Size: 23.3 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 5

julurisaichandu/KevinAI
AI Manager for Devin AI
Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kmalialis/resource_abstraction
Resource Abstraction (AAMAS 2016)
Language: C++ - Size: 10.7 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

TimeBreaker/MARL-papers-with-code
Multi-Agent Reinforcement Learning (MARL) papers with code
Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 231 - Forks: 29

rosewang2008/gym-cooking
gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.
Language: Python - Size: 9.32 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 163 - Forks: 35

yubryanj/Multiagent-reinforcement-learning-for-game-theory-financial-graphs
Code for "Reinforcement Learning for Game Theory: Financial Graphs"
Language: Python - Size: 979 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

TimeBreaker/MARL-resources-collection
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
Size: 22.5 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 155 - Forks: 10

AlirezaShamsoshoara/Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
Language: Python - Size: 17.7 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 43 - Forks: 17

jtonglet/Nash-Q-Learning
Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.
Language: Python - Size: 357 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 2

tjuHaoXiaotian/pymarl3
We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.
Language: Python - Size: 2.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 82 - Forks: 8

TimeBreaker/Multi-Agent-Reinforcement-Learning-papers
Multi-Agent Reinforcement Learning (MARL) papers
Size: 29.3 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 161 - Forks: 28

abhismatrix1/Tennis-MultiAgent
This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.
Language: Python - Size: 11 MB - Last synced at: 8 months ago - Pushed at: over 6 years ago - Stars: 19 - Forks: 3

Allenpandas/2019-Reinforcement-Learning-Conferences-Papers 📦
The proceedings of top conference in 2019 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Size: 55.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Allenpandas/2018-Reinforcement-Learning-Conferences-Papers 📦
The proceedings of top conference in 2018 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Size: 43.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Allenpandas/2017-Reinforcement-Learning-Conferences-Papers 📦
The proceedings of top conference in 2017 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AYUSH-ISHAN/Type-Based_Heirarchial_MARL_SC2
StarCraft 2 via Type Based Heirarchial Multi Agent Reinforcement Leanring
Language: Python - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

cor3bit/bertsekas-marl
PyTorch Implementation of the Sequential Multiagent Rollout algorithm
Language: Python - Size: 5.79 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 1

JohannesAck/MATD3implementation
Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"
Language: Python - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 55 - Forks: 14

MagicSHX/Multiagent_RL_model
Create a game agent with Reinforcement Learning & multiagent model
Language: Jupyter Notebook - Size: 662 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

hsvgbkhgbv/shapley-q-learning
This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
Language: Python - Size: 228 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 32 - Forks: 12

asokraju/Adv-MARL
Adversarial attacks in consensus-based multi-agent reinforcement learning
Language: Python - Size: 84.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 4

seolhokim/Deep-Multi-Agent-Reinforcement-Learning
deep multi agent reinforcement learning tutorial book for intermediate
Size: 5.39 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 3

Stanford-ILIAD/PantheonRL
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
Language: Python - Size: 8.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 108 - Forks: 15

ValentinaZangirolami/MADRQN
Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator
Language: Python - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

cyoon1729/Multi-agent-reinforcement-learning 📦
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
Language: Python - Size: 41 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 59 - Forks: 21

ericyangyu/DeMAC
The Decentralized Multi-Agent Coordination (DeMAC) Framework. A lightweight tool designed to easily coordinate multiple agents with decentralized policies in a shared multi-agent environment.
Language: Python - Size: 1.94 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

DevMilk/UAV-Based-Cellular-Communication-Multi-Agent-DRL-Solution
UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management
Language: Jupyter Notebook - Size: 37.5 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 2
