GitHub topics: multi-agent-reinforcement-learning
SafeRL-Lab/Robust-Gymnasium
[ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.
Language: Python - Size: 310 MB - Last synced at: about 19 hours ago - Pushed at: about 19 hours ago - Stars: 61 - Forks: 4
instadeepai/og-marl
Datasets with baselines for Offline MARL.
Language: Python - Size: 57.6 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 175 - Forks: 14
antinomyhq/forge
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models
Language: Rust - Size: 13.2 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 3,888 - Forks: 1,199
xihuai18/MARL-Comm
Basic MARL algorithms with Communication
Language: Python - Size: 143 KB - Last synced at: 2 days ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1
AgileRL/AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
Language: Python - Size: 61.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 798 - Forks: 65
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Language: Python - Size: 186 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2,946 - Forks: 391
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: 4 days ago - Pushed at: over 1 year ago - Stars: 317 - Forks: 92
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: 1 day ago - Pushed at: about 2 years ago - Stars: 364 - Forks: 79
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: 562 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 435 - Forks: 85
agi-brain/xuance
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Language: Python - Size: 125 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 918 - Forks: 132
AutoDRIVE-Ecosystem/MRDT-MARL Fork of Tinker-Twins/AutoDRIVE-Coopertitive-MARL
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles
Language: Python - Size: 160 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 6 - Forks: 0
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: 9 days ago - Pushed at: 10 days ago - Stars: 159 - Forks: 10
spiral-rl/spiral
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
Language: Python - Size: 11.2 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 106 - Forks: 10
XuehaiPan/mate
MATE: the Multi-Agent Tracking Environment.
Language: Python - Size: 492 KB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 22
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: 48 - Forks: 7
semitable/robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
Language: Python - Size: 2.46 MB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 377 - Forks: 81
mit-wu-lab/greenwave
Greenwave project website.
Language: HTML - Size: 34.1 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0
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: 253 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0
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: 53.4 MB - Last synced at: 7 days ago - Pushed at: 13 days ago - Stars: 46 - Forks: 10
instadeepai/Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Language: Python - Size: 280 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 815 - Forks: 106
4L3M4NCL/agent-as-service
Deploy AI agents effortlessly with the Agent as a Service (AaaS) platform. Scale your enterprise solutions and enhance efficiency. 🚀🌟
Size: 12.7 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0
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: 18 days ago - Pushed at: about 1 year ago - Stars: 1,482 - Forks: 143
aialt/overcooked-jax
A benchmark for Continual Multi-Agent Reinforcement Learning on the Overcooked environment.
Language: Python - Size: 1.09 MB - Last synced at: 19 days ago - Pushed at: 20 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: 1 day ago - Pushed at: 3 months ago - Stars: 885 - Forks: 159
unimib-datAI/marl-dfaas
Source code of experiments with MARL and FaaS of Emanuele Petriglia.
Language: Jupyter Notebook - Size: 713 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
KennethJAllen/santorini-marl
Custom PettingZoo env for multi-agent reinforcment learning for the game Santorini
Language: Python - Size: 1.94 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0
sethkarten/pokechamp
Official repository of the paper, PokeChamp: an Expert-level Minimax Language Agent for Competitive Pokemon.
Language: Python - Size: 10.4 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 65 - Forks: 7
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: 13 days ago - Pushed at: almost 2 years ago - Stars: 64 - Forks: 15
zombie-einstein/esquilax
JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library
Language: Python - Size: 639 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 10 - Forks: 0
asieradzk/RL_Matrix
Deep Reinforcement Learning in C#
Language: C# - Size: 46.2 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 252 - Forks: 21
WeiChengTseng/awesome-multi-agent
A curated list of awesome multi-agent learning papers
Size: 15.6 KB - Last synced at: 25 days ago - Pushed at: over 3 years ago - Stars: 58 - Forks: 5
oskar-j/awesome-sim-software
An awesome list of multi-agent simulation frameworks, tools & other repositories
Size: 37.1 KB - Last synced at: about 15 hours ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 3
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: 8 days ago - Pushed at: over 3 years ago - Stars: 50 - Forks: 5
TsinghuaC3I/MARTI
A Framework for LLM-based Multi-Agent Reinforced Training and Inference
Language: Python - Size: 7.68 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 141 - Forks: 10
instadeepai/awesome-marl
A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
Size: 2.59 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 53 - Forks: 8
OpenRL-Lab/openrl
Unified Reinforcement Learning Framework
Language: Python - Size: 8 MB - Last synced at: 30 days ago - Pushed at: 11 months ago - Stars: 748 - Forks: 73
codingfisch/flashrl
Fast reinforcement learning 💨
Language: Cython - Size: 74.2 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 25 - Forks: 1
DIOL-UniTN/Coach-QD-MARL
Interpretable Multi Agent Reinforcement Learning with a Quality DIversity Approach
Language: Python - Size: 964 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
Allenpandas/2020-Reinforcement-Learning-Conferences-Papers 📦
The proceedings of top conference in 2020 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Size: 94.7 KB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0
wuxiyang1996/Heterogeneous_Highway_Env
Heterogeneous Multi-agent Version of Highway-env
Language: Python - Size: 29.9 MB - Last synced at: 5 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: 51.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 147 - Forks: 31
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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 43 - Forks: 3
AzulImplementation/AzulMARL
A Multi-agent reinforcement learning environment for Azul board game
Language: Python - Size: 17 MB - Last synced at: 5 days ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0
kmk0224/RLStudy
Share RL study material
Size: 10.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months 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: about 1 month 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 2
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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 23 - Forks: 4
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: 18 days ago - Pushed at: 5 months ago - Stars: 40 - Forks: 3
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: about 1 month 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - 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: about 2 months ago - Pushed at: about 2 months 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: about 2 months ago - Pushed at: over 2 years ago - Stars: 221 - Forks: 10
blavad/marl
Multi-agent reinforcement learning framework
Language: Python - Size: 6.39 MB - Last synced at: about 2 months 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 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months 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: 9 days ago - Pushed at: 2 months ago - Stars: 12 - Forks: 4
mansicer/MAIC
The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
Language: Python - Size: 805 KB - Last synced at: about 2 months 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months 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: about 1 month ago - Pushed at: 8 months ago - Stars: 129 - Forks: 29
opendilab/DI-engine-docs
DI-engine docs (Chinese and English)
Language: Python - Size: 178 MB - Last synced at: 2 months ago - Pushed at: 5 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: 19 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: 2 months ago - Pushed at: 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1
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: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1
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: 3 months ago - Pushed at: 7 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: 2 months ago - Pushed at: 8 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: 3 months ago - Pushed at: 3 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: about 1 month 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: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 8 months ago - Stars: 1,055 - Forks: 171
rbokade/pytsc
Documentation:
Language: Python - Size: 38.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0
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: 3 months ago - Pushed at: 3 months ago - Stars: 54 - Forks: 8
instadeepai/matrax
A collection of matrix games in JAX
Language: Python - Size: 326 KB - Last synced at: 28 days ago - Pushed at: 8 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: 3 months ago - Pushed at: 4 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: 3 months ago - Pushed at: 3 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: 3 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: 13 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: about 1 month ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 2
GUT-AI/multi-robot-path-planning
Multi-Robot Path Planning
Size: 21.5 KB - Last synced at: 4 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: 4 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: 4 months ago - Pushed at: over 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: 4 months ago - Pushed at: 4 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: 2 months ago - Pushed at: 6 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: 4 months ago - Pushed at: 11 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: 4 months ago - Pushed at: over 1 year ago - Stars: 165 - Forks: 27
omniscientoctopus/jax-imprl
A JAX accelerated version of IMPRL (Inspection and Maintenance Planning with Reinforcement Learning)
Language: Python - Size: 364 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
engyasin/SLRL
Supervised and Reinforcement Learning Traffic Simulation Model
Language: Jupyter Notebook - Size: 40 MB - Last synced at: 4 months ago - Pushed at: 7 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: 4 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: 3 months ago - Pushed at: about 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: 4 months ago - Pushed at: almost 5 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: 3 days ago - Pushed at: 6 months ago - Stars: 23 - Forks: 7
