Trending repositories for topic multi-agent-reinforcement-learning

A collection of MARL benchmarks based on TorchRL

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

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

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

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

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

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

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

A collection of MARL benchmarks based on TorchRL

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

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

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

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

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

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

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

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XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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"

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

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

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

A collection of MARL benchmarks based on TorchRL

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

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 ...

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

[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

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

Jax and Torch Multi-Agent SAC on PettingZoo API

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

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

Deep Reinforcement Learning in C#

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

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Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

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

[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

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"

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

Jax and Torch Multi-Agent SAC on PettingZoo API

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

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

A collection of MARL benchmarks based on TorchRL

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

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

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

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

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

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 ...

Deep Reinforcement Learning in C#

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

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

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:

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

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

AI enabled shell

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

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

Deep Reinforcement Learning in C#

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

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"

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

A collection of MARL benchmarks based on TorchRL

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

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

Unified Reinforcement Learning Framework

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

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 ...

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

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

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

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

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

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

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

Deep Reinforcement Learning in C#

Heterogeneous Multi-Robot Reinforcement Learning

[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

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

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

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...

Jax and Torch Multi-Agent SAC on PettingZoo API

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"

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

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

Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.

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

A collection of MARL benchmarks based on TorchRL

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

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

AI enabled shell

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

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

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

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.

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

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

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

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

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

A collection of MARL benchmarks based on TorchRL

Deep Reinforcement Learning in C#

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 ...

Unified Reinforcement Learning Framework

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

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"

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

AI enabled shell

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

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

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

Datasets with baselines for offline multi-agent reinforcement learning.

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

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

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...

Deep Reinforcement Learning in C#

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, coo...

[TPAMI] Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning

[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.

A collection of MARL benchmarks based on TorchRL

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

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 ran...

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

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"

Datasets with baselines for offline multi-agent reinforcement learning.

Heterogeneous Multi-Robot Reinforcement Learning

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.

applying multi-agent reinforcement learning for highway-merging autonomous vehicles

demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention Multi-Agent DDPG) and NCC-MARL (Neighborhood Cognition Consist...

Jax and Torch Multi-Agent SAC on PettingZoo API