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GitHub topics: multi-agent-reinforcement-learning

spiral-rl/spiral

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning

Language: Python - Size: 9.89 MB - Last synced at: about 24 hours ago - Pushed at: about 24 hours ago - Stars: 5 - Forks: 0

pytorch/rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Language: Python - Size: 158 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2,873 - Forks: 383

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.

Language: Python - Size: 939 KB - Last synced at: about 4 hours ago - Pushed at: about 1 year ago - Stars: 1,482 - Forks: 142

agi-brain/xuance

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Language: Python - Size: 124 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 893 - Forks: 129

avkhimen/Electric_Vehicle_Charging_Simulation

This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is modelled as a multi-objective multi-agent cooperative game. Project is part of fulfillment criteria for ECE 730 course at the University of Alberta.

Language: Python - Size: 1.09 MB - Last synced at: about 21 hours ago - Pushed at: about 3 years ago - Stars: 50 - Forks: 5

kapshaul/Distributed.Multi-Agents.RL

This project focuses on implementing and experimenting with both single-core and distributed versions of Deep Q Networks (DQN).

Language: Jupyter Notebook - Size: 238 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

TsinghuaC3I/MARTI

A Framework for LLM-based Multi-Agent Reinforced Training and Inference

Language: Python - Size: 7.68 MB - Last synced at: 3 days ago - Pushed at: 19 days ago - Stars: 141 - Forks: 10

unimib-datAI/marl-dfaas

Source code of experiments with MARL and FaaS of Emanuele Petriglia.

Language: Jupyter Notebook - Size: 615 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

OpenRL-Lab/openrl

Unified Reinforcement Learning Framework

Language: Python - Size: 8 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 748 - Forks: 73

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.

Language: Python - Size: 560 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 414 - Forks: 83

antinomyhq/forge

AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models

Language: Rust - Size: 12.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3,550 - Forks: 1,203

AgileRL/AgileRL

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

Language: Python - Size: 60.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 784 - Forks: 65

SafeRL-Lab/Robust-Gymnasium

[ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.

Language: Python - Size: 310 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 57 - Forks: 3

DIOL-UniTN/Coach-QD-MARL

Interpretable Multi Agent Reinforcement Learning with a Quality DIversity Approach

Language: Python - Size: 964 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

KennethJAllen/santorini-marl

Custom PettingZoo env for multi-agent reinforcment learning for the game Santorini

Language: Python - Size: 522 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

microsoft/maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Language: Python - Size: 110 MB - Last synced at: 5 days ago - Pushed at: 2 months ago - Stars: 883 - Forks: 158

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: 5 days ago - Pushed at: 9 months ago - Stars: 47 - Forks: 7

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:

Language: Python - Size: 2.02 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 362 - Forks: 78

asieradzk/RL_Matrix

Deep Reinforcement Learning in C#

Language: C# - Size: 46.2 MB - Last synced at: 11 days ago - Pushed at: 22 days ago - Stars: 250 - Forks: 20

wuxiyang1996/Heterogeneous_Highway_Env

Heterogeneous Multi-agent Version of Highway-env

Language: Python - Size: 29.9 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 0

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.

Language: Jupyter Notebook - Size: 51.7 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 147 - Forks: 31

instadeepai/Mava

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

Language: Python - Size: 280 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 802 - Forks: 105

UnrealZoo/unrealzoo-gym Fork of zfw1226/gym-unrealcv

Large-scale photo-realistic virtual worlds for embodied AI

Language: Python - Size: 112 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 140 - Forks: 9

Aravinthan404/marl-qmix

Scalable Multi-Agent Reinforcement Learning with IQL and QMIX — from-scratch implementation in a custom grid environment. Compare independent vs centralized learning as agents scale from 2 to 10.

Language: Python - Size: 515 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

jwliao-ai/MARFT

MARFT stands for Multi-Agent Reinforcement Fine-Tuning. This repository implements an LLM-based multi-agent reinforcement fine-tuning framework for general agentic tasks, providing a foundational MARFT framework.

Language: Python - Size: 20.2 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 43 - Forks: 3

flatland-association/flatland-rl

The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.

Language: Jupyter Notebook - Size: 53.5 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 42 - Forks: 10

WeiChengTseng/awesome-multi-agent

A curated list of awesome multi-agent learning papers

Size: 15.6 KB - Last synced at: 19 days ago - Pushed at: over 3 years ago - Stars: 57 - Forks: 5

AzulImplementation/AzulMARL

A Multi-agent reinforcement learning environment for Azul board game

Language: Python - Size: 27.3 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

legalaspro/unity_multiagent_rl

Multi-agent reinforcement learning framework for Unity environments. Implements MAPPO, MASAC, MATD3, and MADDPG with comprehensive evaluation tools. Features sample-efficient training, competitive analysis, and pre-trained models achieving great performance in Tennis and Soccer environments.

Language: Python - Size: 69.4 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

kmk0224/RLStudy

Share RL study material

Size: 10.5 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

salesforce/ai-economist 📦

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Language: Python - Size: 2.14 MB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 74 - Forks: 19

YunxiaoGuo/ABCS-Flocking

The Code of the paper: "ABCS Flocking: A Leader-Follower Collision Free UAV Flocking System with Multi-Agent Reinforcement Learning"

Language: Python - Size: 1.46 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 16 - Forks: 2

semitable/robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

Language: Python - Size: 2.46 MB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 374 - Forks: 81

RaffaeleGalliera/melissa

A Multi-Agent Reinforcement Learning Environment for Information Dissemination based on Graph Convolutional Reinforcement Learning

Language: Python - Size: 440 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 6 - Forks: 0

COeXISTENCE-PROJECT/RouteRL

RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.

Language: Jupyter Notebook - Size: 743 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 23 - Forks: 4

OpenRL-Lab/TiZero

Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体

Language: Python - Size: 7.2 MB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 58 - Forks: 7

is3rlab/is3rlab.github.io

Intelligent Social Systems and Swarm Robotics Lab (IS3R)

Language: HTML - Size: 214 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 2

oskar-j/awesome-sim-software

An awesome list of multi-agent simulation frameworks, tools & other repositories

Size: 37.1 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 2

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.

Language: Python - Size: 4.85 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 426 - Forks: 82

opendilab/ACE

[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".

Language: Python - Size: 55.4 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 221 - Forks: 10

zombie-einstein/esquilax

JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library

Language: Python - Size: 588 KB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 0

blavad/marl

Multi-agent reinforcement learning framework

Language: Python - Size: 6.39 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 32 - Forks: 8

lukehollis/react-urban-mobility

React starter for urban mobility simulations of human-like behaviors connecting to a MARL model API backend

Language: TypeScript - Size: 39.1 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 0

pyragogy/Blueprint_village

Blueprint open source per un villaggio AI–umano: co-creazione, workflow multi-agente, metriche cognitive e strumenti peeragogici per il futuro dell’apprendimento.

Language: HTML - Size: 45.9 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

panxulab/MARL-CoopTS

Code for the paper "Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning", Advances in Neural Information Processing Systems (NeurIPS) 2024

Language: Python - Size: 120 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

yamoling/lle

The Laser Learning Environment (LLE) is a cooperative MARL grid-world

Language: Rust - Size: 2.06 MB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 12 - Forks: 4

instadeepai/og-marl

Datasets with baselines for offline multi-agent reinforcement learning.

Language: Python - Size: 54.7 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 169 - Forks: 14

mansicer/MAIC

The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".

Language: Python - Size: 805 KB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 56 - Forks: 10

ai4co/camp

[AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems

Language: Python - Size: 4.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 20 - Forks: 1

Future-Power-Networks/MAPDN

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

Language: Python - Size: 1.37 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 245 - Forks: 63

DhruvaBhardwaj404/Safe-Multi-Agent-Deep-Policy-Gradient-Optimization-Algorithm

This repository contains the code for a new Safe Multi-Agent Reinforcement Learning (MARL) algorithm. It integrates deep policy gradients with a Lagrangian multiplier framework to enable autonomous agents to learn cooperative strategies while rigorously adhering to safety constraints and maximizing rewards.

Language: Python - Size: 12 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

stefanbschneider/mobile-env

An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.

Language: Python - Size: 3.33 MB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 129 - Forks: 29

opendilab/DI-engine-docs

DI-engine docs (Chinese and English)

Language: Python - Size: 178 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 299 - Forks: 64

restorenode/mappo-competitive-reinforcement

🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem

Language: Python - Size: 2.28 MB - Last synced at: 3 days ago - Pushed at: almost 3 years ago - Stars: 22 - Forks: 1

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 1 month ago - Pushed at: about 2 months ago - Stars: 2,936 - Forks: 438

levitation-opensource/zoo_to_gym_multiagent_adapter

Enables you to convert a PettingZoo environment to a Gym environment while supporting multiple agents (MARL). Gym's default setup doesn't easily support multi-agent environments, but this wrapper resolves that by running each agent in its own process and sharing the environment across those processes.

Language: Python - Size: 29.3 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Subramanyam6/Multi-Agent-War-Simulation-using-Reinforcement-Learning

This project simulates a virtual war between n RL-reasoning (Q-learning) agents.

Language: Python - Size: 1.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 6 - Forks: 0

Project-Group-LBP/LBP

Multi-Agent RL for UAV Control for Fair and Energy-Efficient Coverage Maximisation

Language: Python - Size: 5.19 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

instadeepai/awesome-marl

A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers

Size: 2.59 MB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 52 - Forks: 8

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.

Language: Python - Size: 98.3 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 313 - Forks: 92

news-vt/eqmarl

This is the repository for the paper "eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels" published in ICLR 2025

Language: Jupyter Notebook - Size: 111 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1

wuxiyang1996/iPLAN

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning

Language: Jupyter Notebook - Size: 64.9 MB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 39 - Forks: 3

CN-UPB/DeepCoMP

Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning

Language: Python - Size: 632 MB - Last synced at: 18 days ago - Pushed at: almost 2 years ago - Stars: 63 - Forks: 14

chauncygu/Safe-Multi-Agent-Isaac-Gym

Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.

Language: Python - Size: 67.2 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 61 - Forks: 9

ffelten/MASAC

Jax and Torch Multi-Agent SAC on PettingZoo API

Language: Python - Size: 237 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 81 - Forks: 7

bassamlab/SigmaRL

SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

Language: Python - Size: 59.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 50 - Forks: 1

TensorSwarm/TensorSwarm

TensorSwarm: A framework for reinforcement learning of robot swarms.

Language: Python - Size: 95.7 KB - Last synced at: 12 days ago - Pushed at: over 5 years ago - Stars: 114 - Forks: 34

wenshuaizhao/spmarl

This repo is for paper "Learning Progress Driven Multi-Agent Curriculum"

Language: Python - Size: 128 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

omniscientoctopus/optimality-of-decentralization

Code accompanying the paper "Assessing the Optimality of Decentralized Inspection and Maintenance Policies for Stochastically Degrading Engineering Systems" by Prateek Bhustali and Charalampos Andriotis.

Language: Jupyter Notebook - Size: 976 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Replicable-MARL/MARLlib

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Language: Python - Size: 113 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1,055 - Forks: 171

rbokade/pytsc

Documentation:

Language: Python - Size: 38.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 0

XuehaiPan/mate

MATE: the Multi-Agent Tracking Environment.

Language: Python - Size: 492 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 37 - Forks: 22

SafeRL-Lab/Safe-MARL-in-Autonomous-Driving

[IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.

Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 54 - Forks: 8

instadeepai/matrax

A collection of matrix games in JAX

Language: Python - Size: 326 KB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 11 - Forks: 3

HewlettPackard/dc-rl

SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

Language: HTML - Size: 109 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 54 - Forks: 11

HenrikFredriksen/sub-catan

AECEnv (TMARL) implementation for a Subversion of the board game Settlers of Catan.

Language: Python - Size: 878 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

hijkzzz/noisy-mappo

Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

Language: Python - Size: 153 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 61 - Forks: 6

chuangyc/awesome-multiagent-learning

A curated list of multiagent learning and related area resources.

Size: 43 KB - Last synced at: 7 days ago - Pushed at: almost 6 years ago - Stars: 77 - Forks: 12

ntt-dkiku/evrp-eps

The official implementation of "Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning" (AAMAS 2024, extended abstract).

Language: Jupyter Notebook - Size: 24 MB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 2

GUT-AI/multi-robot-path-planning

Multi-Robot Path Planning

Size: 21.5 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

TU-Delft-AI-Energy-Lab/MARL-iDR-Multi-Agent-Reinforcement-Learning-for-Incentive-based-Residential-Demand-Response

Code for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"

Language: Python - Size: 6.34 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 32 - Forks: 7

ut-amrl/SocialGym2

SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.

Language: Python - Size: 37 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 59 - Forks: 6

GT-STAR-Lab/MARBLER

Multi-Robot RL Benchmark and Learning Environment for the Robotarium | IEEE MRS 2023

Language: Python - Size: 17.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 10 - Forks: 4

instadeepai/marl-eval

A tool for aggregating and plotting MARL experiment data.

Language: Python - Size: 7.82 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 77 - Forks: 6

IDSIA/hhmarl_2D

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

Language: Python - Size: 1.68 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 91 - Forks: 16

chauncygu/Multi-Agent-Constrained-Policy-Optimisation

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

Language: Python - Size: 8.48 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 165 - Forks: 27

sethkarten/pokechamp

Official repository of the paper, PokeChamp: an Expert-level Minimax Language Agent for Competitive Pokemon.

Language: Python - Size: 9.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 44 - Forks: 4

omniscientoctopus/jax-imprl

A JAX accelerated version of IMPRL (Inspection and Maintenance Planning with Reinforcement Learning)

Language: Python - Size: 364 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

engyasin/SLRL

Supervised and Reinforcement Learning Traffic Simulation Model

Language: Jupyter Notebook - Size: 40 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

51616/marl-lipo

Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)

Language: Python - Size: 2.81 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 1

ArthurFirmino/gym-battlesnake

Multi-agent reinforcement learning environment

Language: C++ - Size: 369 KB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 36 - Forks: 28

instadeepai/EGTA-NMARL

Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning.

Language: Python - Size: 782 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 3

forrestlaine/TensorGames.jl

Computing mixed-strategy Nash Equilibria for games involving multiple players

Language: Julia - Size: 107 KB - Last synced at: 4 days ago - Pushed at: 6 months ago - Stars: 23 - Forks: 7

chauncygu/Safe-Multi-Agent-Robosuite

Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.

Language: Python - Size: 153 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 18 - Forks: 4

Allenpandas/Tutorial4RL

Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

Size: 4.17 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 140 - Forks: 12

codingfisch/flashrl

Fast reinforcement learning 💨

Language: Cython - Size: 75.2 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 24 - Forks: 1

hsvgbkhgbv/CIAO

This repository includes the implementation of the ICML 2024 paper titled "Open Ad Hoc Teamwork with Cooperative Game Theory."

Language: Python - Size: 2.41 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

Shaswat2001/Multi_Agent_Path_Finding

Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoftQ for path planning of swarm of mobile robots.

Language: Python - Size: 146 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 30 - Forks: 1

cool-RR/chicken-coop

Emergent Dominance Hierarchies in Reinforcement Learning Agents

Language: Python - Size: 130 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 3

LAMDA-RL/ODIS

The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".

Language: Python - Size: 6.49 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 40 - Forks: 6

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multi-agent-reinforcement-learning 348 reinforcement-learning 182 deep-reinforcement-learning 71 pytorch 62 multi-agent-systems 49 machine-learning 29 multi-agent 28 marl 27 deep-learning 24 reinforcement-learning-algorithms 21 robotics 19 python 19 maddpg 18 reinforcement-learning-environments 18 pettingzoo 15 ppo 15 gym 15 dqn 14 ddpg 14 gym-environment 13 q-learning 12 rl 11 rllib 11 safe-reinforcement-learning 9 artificial-intelligence 9 meta-reinforcement-learning 8 simulation 8 reinforcement-learning-agent 8 ray 8 ai 8 inverse-reinforcement-learning 8 actor-critic 7 self-play 7 gymnasium 7 graph-neural-networks 7 game-theory 7 unity-ml-agents 7 multiagent-reinforcement-learning 7 tensorflow 7 openai-gym 7 multi-agent-simulation 6 multi-robot-systems 6 smac 6 autonomous-driving 6 benchmark 6 policy-gradient 6 offline-reinforcement-learning 6 aaai 6 jax 6 unity 6 imitation-learning 6 starcraft2 6 icml 5 ijcai 5 deep-q-learning 5 simulator 5 multi-agent-learning 5 mappo 5 swarm-robotics 5 large-language-models 5 google-research-football 5 decision-making 5 qmix 5 mujoco 4 soft-actor-critic 4 udacity-nanodegree 4 awesome-list 4 atari 4 environment 4 dqn-pytorch 4 openai-gym-environment 4 emergent-communication 4 dec-pomdp 4 autonomous-vehicles 4 gazebo 4 multiagent-systems 3 proximal-policy-optimization 3 deep-q-network 3 combinatorial-optimization 3 carla-simulator 3 sac 3 drl 3 operations-research 3 td3 3 aamas 3 social-dilemmas 3 agent 3 swarm-intelligence 3 multi-robot 3 reinforcement-learning-paper 3 reinforcement-learning-papers 3 qlearning 3 ros2 3 traffic-simulation 3 adversarial-reinforcement-learning 3 reinforcement-learning-environment 3 a3c 3 deep-deterministic-policy-gradient 3 open-ai-gym 3 library 3