Statistics for topic multi-agent-reinforcement-learning
RepositoryStats tracks 595,856 Github repositories, of these 74 are tagged with the multi-agent-reinforcement-learning topic. The most common primary language for repositories using this topic is Python (61).
Stargazers over time for topic multi-agent-reinforcement-learning
Most starred repositories for topic multi-agent-reinforcement-learning (view more)
Trending repositories for topic multi-agent-reinforcement-learning (view more)
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
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 Constrained Policy Optimisation (MACPO; MAPPO-L).
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
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 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
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
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
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...
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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)
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.
Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat
applying multi-agent reinforcement learning for highway-merging autonomous vehicles
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
Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.
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
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.