Statistics for topic multi-agent-reinforcement-learning
RepositoryStats tracks 636,051 Github repositories, of these 81 are tagged with the multi-agent-reinforcement-learning topic. The most common primary language for repositories using this topic is Python (67).
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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)
[IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.
[IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat
[IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
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
Official repository of the paper, PokeChamp: an Expert-level Minimax Language Agent for Competitive Pokemon.
Official repository of the paper, PokeChamp: an Expert-level Minimax Language Agent for Competitive Pokemon.
[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.
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
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...
[IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.
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