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multi-agent-reinforcement-learning x

92 search results found

Pettingzoo ⭐ 2,218

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

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

Chatarena ⭐ 1,128

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

Ai Economist ⭐ 1,022

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).

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

Marllib ⭐ 611

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

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

Unified Reinforcement Learning Framework

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Accel Brain Code ⭐ 289

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 proces

Di Engine Docs ⭐ 234

DI-engine docs (Chinese and English)

Macad Gym ⭐ 224

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:

Vectorizedmultiagentsimulator ⭐ 210

VMAS is a vectorized framework 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.

Learning To Communicate Pytorch ⭐ 187

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Robotic Warehouse ⭐ 170

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

Multi Agent Reinforcement Learning ⭐ 127

PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.

Benchmarl ⭐ 115

A collection of MARL benchmarks based on TorchRL

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

Simulator ⭐ 101

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

Learning-based agent for Google Research Football (足球游戏智能体)

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

Vn Maddpg ⭐ 92

Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"

[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".

Tf2multiagentrl ⭐ 89

Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x

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''.

Gym Multigrid ⭐ 81

Lightweight multi-agent gridworld Gym environment

Db Football ⭐ 80

A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.

Tensorswarm ⭐ 69

TensorSwarm: A framework for reinforcement learning of robot swarms.

Multi Agent Constrained Policy Optimisation ⭐ 66

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

Spatial Intention Maps ⭐ 65

Learning multi-agent robotic mobile manipulation with deep reinforcement learning

Datasets with baselines for offline multi-agent reinforcement learning 🤖

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

Mobile Env ⭐ 42

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

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning

The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".

The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .

Commnet Bicnet ⭐ 37

CommNet and BiCnet implementation in tensorflow

Deepcomp ⭐ 36

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

MLSys Workshop NeurIPS 2023 - Redco: A Lightweight Tool to Automate Distributed Training and Inference

StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX

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

Marl Eval ⭐ 25

A tool for aggregating and plotting MARL experiment data.

Jax and Torch Multi-Agent SAC on PettingZoo API

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

Socialgym2 ⭐ 23

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

[ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning

Safe Multi Agent Isaac Gym ⭐ 22

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

Pommerman Baseline ⭐ 21

Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"

Heterogeneous Multi-Robot Reinforcement Learning

Gym Battlesnake ⭐ 19

Multi-agent reinforcement learning environment

[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

Noisy Mappo ⭐ 18

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

Smac_exp ⭐ 17

An open source benchmark for Multi Agent Reinforcement Learning

Deep Learning For Multi Robotics ⭐ 16

Deep learning model powered by Graph Neural Networks and Reinforcement Learning for multi-robot path planning at @Inria

Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”

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

Implementation of CoDAIL in the ICLR 2021 paper <Multi-Agent Interactions Modeling with Correlated Policies>

Marl Lipo ⭐ 13

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

The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization" (NeurIPS 2023)

Marl Patrolling Agents ⭐ 12

Project on multi agent reinforcement learning applied on patrolling agents

MATE: the Multi-Agent Tracking Environment.

Maddpg Keras ⭐ 12

Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras

Marlware ⭐ 11

Repository dedicated to developing a robust and modular framework for Multi-Agent Reinforcement Learning (MARL) algorithms.

[NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"

Value-Decomposition Multi-Agent Actor-Critics

Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020

Slimebot Volleyball ⭐ 9

3D gym environments to train RL agents to play the Slime Volleyball game in 3 dimensions using Webots as simulator.

Macad Agents ⭐ 8

Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Adaptable Agent Populations via a Generative Model of Policies

Multi_agent_ppo ⭐ 8

Multi agent PPO implementation in Pytorch for Unity ML Agents environments.

Nash_q_learning ⭐ 8

Multi-agent reinforcement learning framework

Marl Idr Multi Agent Reinforcement Learning For Incentive Based Residential Demand Response ⭐ 7

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

A collection of matrix games in JAX

Mlrepricer ⭐ 6

Explore pricing data. Share insights and models. Build environment for repricer.

Multi Agent Deep Deterministic Policy Gradients ⭐ 6

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

This project is created for the simulations of the paper: [Wang2021] Wenbo Wang, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized Learning for Channel Allocation inIoT Networks over Unlicensed Bandwidth as aContextual Multi-player Multi-armed Bandit Game", to appear in IEEE Transactions on Wireless Communications, 2021.

Gym Stag Hunt ⭐ 6

A custom reinfrocement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.

Drug-target binding affinity counterfactual generation

Multi Agent Reinforcement Learning ⭐ 6

Reinforcement Learning approaches for learning communication in Multi Agent Systems.

Safe Multi Agent Robosuite ⭐ 6

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

Ddpg_multiagent ⭐ 6

Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment

Dhc Robust Mapf ⭐ 6

Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and benchmarked in out-of-distribution (OOD) scenarios. A new robust training loop to handle communication failures is introduced.

Marl Copa ⭐ 6

PyTorch Implementation of COPA for coordinating teams that can dynamically change.

The Laser Learning Environment (LLE) is a multi-agent reinforcement learning environment

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning

Beer Game Env ⭐ 5

Beer Game implemented as an OpenAI gym environment.

Realistic Benchmarks for Collaborative Heterogeneous Multi-Robot Systems

Mappo Competitive Reinforcement ⭐ 5

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

Minimal Marl ⭐ 5

Minimal implementation of multi-agent reinforcement learning algorithms

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