There are 43 repositories under multi-agent-systems topic.
Python implementation of a bunch of multi-robot path-planning algorithms.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
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 challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
灰狼优化算法(GWO)路径规划/轨迹规划/轨迹优化、多智能体/多无人机航迹规划
A framework for autonomous economic agent (AEA) development
Lightweight multi-agent gridworld Gym environment
OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
Implementation of Optimal Auctions through Deep Learning
PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL). https://arxiv.org/abs/2111.05969
A framework for the creation of autonomous agent services.
General-purpose discrete-event multiagent simulation library for agent-based modelling and simulation
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
A framework for open autonomous economic agent (AEA) development - no package vendor is prioritised over other package vendors
scalable multi agents reinforcement learning
Simulation for planar area coverage by a swarm of UAVs
Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"
An ecologically inspired multi-agent system. Agents are designed with neural network based decision making, and complex resource requirements.
Robotics Toolbox Extension:matlab scripts for cooperative control and manipulation based on Peter Corke's robotics toolbox. Also fix some bugs of RTB 10.3.1.
A Goal-Oriented Approach to Knowledge Discovery in Multi-Agent Systems
An agent library for systems of nested automata.
A tool for aggregating and plotting MARL experiment data.