multiagent-reinforcement-learning | Topic

Topic: "multiagent-reinforcement-learning"

LantaoYu/MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

Size: 292 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 4,319 - Forks: 746

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: 8 days ago - Stars: 3,427 - Forks: 400

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: 16 days ago - Pushed at: 22 days ago - Stars: 2,936 - Forks: 438

tigerneil/awesome-deep-rl

For deep RL and the future of AI.

Language: HTML - Size: 1.92 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 1,459 - Forks: 218

cityflow-project/CityFlow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

Language: C++ - Size: 332 KB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 861 - Forks: 182

google-deepmind/meltingpot

A suite of test scenarios for multi-agent reinforcement learning.

Language: Python - Size: 202 MB - Last synced at: 10 days ago - Pushed at: 13 days ago - Stars: 702 - Forks: 138

FLAIROx/JaxMARL

Multi-Agent Reinforcement Learning with JAX

Language: Python - Size: 34.7 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 581 - Forks: 109

xuehy/pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

Language: Python - Size: 722 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 517 - Forks: 110

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: 13 days ago - Pushed at: about 1 month ago - Stars: 484 - Forks: 78

ankonzoid/LearningX

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Language: Python - Size: 3.88 MB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 344 - Forks: 186

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: over 2 years ago - Stars: 231 - Forks: 29

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: about 1 month ago - Pushed at: almost 5 years ago - Stars: 226 - Forks: 45

ArnaudFickinger/gym-multigrid

Lightweight multi-agent gridworld Gym environment

Language: Python - Size: 430 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 180 - Forks: 37

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

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: over 2 years ago - Stars: 161 - Forks: 28

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: over 2 years ago - Stars: 155 - Forks: 10

real-stanford/decentralized-multiarm

[CoRL 2020] Learning a Decentralized Multiarm Motion Planner

Language: Python - Size: 127 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 153 - Forks: 25

wwxFromTju/deepmind_MAS_enviroment

some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》

Language: Python - Size: 250 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 123 - Forks: 28

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: 7 months ago - Pushed at: 7 months ago - Stars: 113 - Forks: 42

EzgiKorkmaz/adversarial-reinforcement-learning

Reading list for adversarial perspective and robustness in deep reinforcement learning.

Size: 18.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 110 - Forks: 6

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

nsidn98/InforMARL

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Language: Python - Size: 18.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 99 - Forks: 23

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

gml16/rl-medical

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

Language: Python - Size: 190 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 75 - Forks: 20

MichelangeloConserva/TotalWarSimulator

Total War Battle simulator for AI research

Language: C# - Size: 200 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 66 - Forks: 7

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: almost 6 years ago - Stars: 59 - Forks: 21

mit-wu-lab/IntersectionZoo

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

Language: Jupyter Notebook - Size: 18.7 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 58 - Forks: 4

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

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 53 - Forks: 12

baskuit/R-NaD

Experimentation with Regularized Nash Dynamics on a GPU accelerated game

Language: Python - Size: 861 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 47 - Forks: 5

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: about 20 hours ago - Pushed at: 8 months ago - Stars: 45 - Forks: 7

ewanlee/ICLR2019-RL-Papers

The Reinforcement-Learning-Related Papers of ICLR 2019

Size: 33.2 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 45 - Forks: 12

Ankur-Deka/Emergent-Multiagent-Strategies

Emergence of complex strategies through multiagent competition

Language: Python - Size: 30.6 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 44 - Forks: 12

cjm715/mgym

A collection of multi-agent reinforcement learning OpenAI gym environments

Language: Python - Size: 1.28 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 44 - Forks: 3

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

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

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

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: 21 days ago - Pushed at: over 2 years ago - Stars: 32 - Forks: 5

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 25 - Forks: 7

kantologist/multiagent-sac

Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.

Language: Python - Size: 26.3 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 24 - Forks: 2

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

caslab-vt/SARNet

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

Language: Python - Size: 190 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 23 - Forks: 8

doesburg11/PredPreyGrass

Intelligent Artificial Life. Researching behavior by nature and nurture simulation, deploying multi-agent reinforcement learning and evolving generational inheritance.

Language: Python - Size: 978 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 20 - Forks: 4

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: over 1 year ago - Stars: 19 - Forks: 2

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: 7 months ago - Pushed at: over 6 years ago - Stars: 19 - Forks: 3

tiagoCuervo/CommonsGame

An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-pool resource appropriation"

Language: Python - Size: 371 KB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 18 - Forks: 4

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: about 2 months ago - Pushed at: about 2 years ago - Stars: 16 - Forks: 3

MichaelBosello/jason-RL

Framework for integrate BDI agents and Reinforcement Learning.

Language: Java - Size: 161 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 15 - Forks: 3

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

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: over 1 year ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 2

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: 21 days ago - Pushed at: 21 days ago - Stars: 14 - Forks: 1

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

Stanford-ILIAD/Conventions-ModularPolicy

PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021

Language: Python - Size: 796 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 4

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

bhairavmehta95/slitherin-gym

Slither-in Inspired Snake Environment for OpenAI Gym (Part of Requests for Research 2.0)

Language: Python - Size: 45.9 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 12 - Forks: 3

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

HumanCompatibleAI/better-adversarial-defenses

Training in bursts for defending against adversarial policies

Language: Python - Size: 47.9 MB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 3

Nikunj-Gupta/conformal-agent-modelling

CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning

Language: Python - Size: 10.4 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 10 - Forks: 1

elliottower/gobblet-rl

Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.

Language: Python - Size: 37 MB - Last synced at: 25 days ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 0

Vindulamj/eco-driving-rl

Website for the ECC 2022 paper titled "Learning Eco-Driving Strategies at Signalized Intersections"

Language: SCSS - Size: 13 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 0

jk96491/C-COMA

Continual Multi-agent Reinforcement Learning in Dynamic Environments

Language: Python - Size: 1.41 MB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 2

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: about 2 months ago - Pushed at: 5 months ago - Stars: 9 - Forks: 2

Zhiyu014/MARL-UDS

Source code for the MARL-enabled real-time control of urban drainage system

Language: Python - Size: 677 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 9 - Forks: 1

balazsgyenes/parllel

A modular, flexible framework for developing performant algorithms in Reinforcement Learning.

Language: Python - Size: 1.26 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 0

hex-plex/KiloBot-MultiAgent-RL

This is an experimentation of MultiAgent Reinforcement learning

Language: Python - Size: 76.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 4

ImanRHT/MultiAgentDRL4CollaborativeMEC

Multi-Agent Deep Reinforcement Learning for Collaborative Computation Offloading in Mobile Edge-Computing

Size: 858 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 8 - Forks: 1

PierpaoloLucarelli/QLearningMaze

Implementation of Q-Learning using TD error to navigate a maze avoiding obstacles and a moving enemy

Language: Python - Size: 1.98 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 0

xuehy/pytorch-mace

A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination

Language: Python - Size: 124 KB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 8 - Forks: 5

elliottower/cathedral-rl

Interactive Multi-Agent Reinforcement Learning Environment for the board game Cathedral using PettingZoo

Language: Python - Size: 239 KB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 0

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

kazimsanlav/Learning-Complex-Group-Behaviours-in-a-Multi-Agent-Competitive-Environment

EE485 research project

Language: Python - Size: 20.7 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2

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: about 3 years ago - Stars: 6 - Forks: 0

xizeroplus/marl-embedding

Information State Embedding in Partially Observable MARL https://arxiv.org/abs/2004.01098

Language: Python - Size: 112 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 6 - 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: 12 months ago - Pushed at: 12 months ago - Stars: 5 - Forks: 0

himelbrand/marl-qtran

An implementation of QTRAN algorithm for Multiagent Reinforcement Learning.

Language: Python - Size: 18.9 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 1

mahkons/jbr-flatland

The winning solution of Flatland Challenge 2020 Reinforcement Learning Track

Language: Python - Size: 7.08 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

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: about 3 years ago - Stars: 4 - Forks: 1

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: 3 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

alomb/FlatlandChallenge

Approaches and solutions to the Flatland Challenge.

Language: Python - Size: 63.9 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

tocom242242/wolf_phc

Win or Learn Fast(WoLF) policy hill climbing

Language: Python - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

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: 3 days ago - Pushed at: 3 days ago - Stars: 3 - Forks: 0

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: 4 days ago - Pushed at: 4 days ago - Stars: 3 - Forks: 0

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: 2 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1

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: 7 months ago - Pushed at: 7 months ago - Stars: 3 - 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: 3 months ago - Pushed at: 8 months ago - Stars: 3 - 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: 8 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 1

morganbarber/Maze-ML

Language: Python - Size: 1.34 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

TGDivy/Language-Evolution

We use reinforcement learning to study how language can be used as a tool for agents to accomplish tasks in their environment, and show that structure in the evolved language emerges naturally through iterated learning, leading to the development of compositional language for describing and generalising about unseen objects.

Language: Python - Size: 429 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - 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: over 2 years ago - Stars: 3 - Forks: 1

khajash/multiagent-env

multi-agent pybox2d environment based off of OpenAI multiagent-particle-envs

Language: Python - Size: 30.3 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

yutongyan/Interested-Paper-Collection

Size: 43 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 1

legalaspro/marl-ppo-suite

Language: Python - Size: 4.16 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 2 - Forks: 0

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: about 1 month ago - Pushed at: 6 months ago - Stars: 2 - 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