Trending repositories for topic multi-agent-reinforcement-learning

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

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.

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

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

Unified Reinforcement Learning Framework

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

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

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

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

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

Unified Reinforcement Learning Framework

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

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

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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.

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

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"

Unified Reinforcement Learning Framework

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

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

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

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

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

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 ...

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

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"

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

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

Unified Reinforcement Learning Framework

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

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

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

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

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

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 ...

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

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

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

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

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.

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

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

Datasets with baselines for offline multi-agent reinforcement learning.

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#

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

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

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

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

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

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

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

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

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"

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.

Datasets with baselines for offline multi-agent reinforcement learning.

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

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

A curated list of awesome multi-agent learning papers

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#

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...

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

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

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

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

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

A tool for aggregating and plotting MARL experiment data.

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

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

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

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

Unified Reinforcement Learning Framework

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

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

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#

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"

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

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

Datasets with baselines for offline multi-agent reinforcement learning.

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

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

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

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

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...

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

Deep Reinforcement Learning in C#

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

Datasets with baselines for offline multi-agent reinforcement learning.

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

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

A tool for aggregating and plotting MARL experiment data.

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"

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...

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

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

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...

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

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

Jax and Torch Multi-Agent SAC on PettingZoo API

Heterogeneous Multi-Robot Reinforcement Learning

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 ...