Trending repositories for topic multi-agent-reinforcement-learning

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.

📚 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

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

Unified Reinforcement Learning Framework

:battery: 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 ...

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

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

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

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

:battery: Datasets with baselines for offline multi-agent reinforcement learning.

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

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.

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

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.

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

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)

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

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

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

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

:battery: Datasets with baselines for offline multi-agent reinforcement learning.

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

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

DI-engine docs (Chinese and English)

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 ...

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

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

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

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

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

:battery: Datasets with baselines for offline multi-agent reinforcement learning.

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Unified Reinforcement Learning Framework

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

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

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.

DI-engine docs (Chinese and English)

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 ...

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

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

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.

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 (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

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

📚 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)

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

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

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 ...

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

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

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

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

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

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

DI-engine docs (Chinese and English)

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

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

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

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.

Reinforcement Learning Agents in .NET

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

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

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 ...

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

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

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

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

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

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)

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

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

Unified Reinforcement Learning Framework

A collection of MARL benchmarks based on TorchRL

Reinforcement Learning Agents in .NET

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

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

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

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

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

Unified Reinforcement Learning Framework

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

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.

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

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 ...

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

:battery: Datasets with baselines for offline multi-agent reinforcement learning.

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

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

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).

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

:battery: Datasets with baselines for offline multi-agent reinforcement learning.

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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

Reinforcement Learning Agents in .NET

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

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

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"

A tool for aggregating and plotting MARL experiment data.

Jax and Torch Multi-Agent SAC on PettingZoo API

📚 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 ...

Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)

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

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

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

A curated list of awesome multi-agent learning papers

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

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

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

Unified Reinforcement Learning Framework