Statistics for topic multi-agent-reinforcement-learning
RepositoryStats tracks 579,584 Github repositories, of these 70 are tagged with the multi-agent-reinforcement-learning topic. The most common primary language for repositories using this topic is Python (58).
Stargazers over time for topic multi-agent-reinforcement-learning
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One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
📚 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
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
📚 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
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
📚 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
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
📚 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
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
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
[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
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...
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
[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
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
Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat
[NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization"