maro
Active·★ 919·MIT·Updated 2025-04-24
★ Trending
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
MARO is a Reinforcement Learning as a Service (RaaS) platform designed for real-world resource optimization across various industrial domains. It offers simulation, RL, and distributed toolkits to facilitate the development and deployment of complex optimization solutions.
#Reinforcement Learning#Multi-Agent Systems#Resource Optimization#Simulation#Operations Research#Web Browsing
01
Features
01Comprehensive Simulation Toolkit
02Full-stack Reinforcement Learning Toolkit
03Distributed Communication and Orchestration Toolkit
04Predefined Industrial Scenarios (e.g., CIM, Citi Bike, VM Scheduling)
05Interactive Environment Visualization Dashboard
02
Compatibility
Python
Python Library
Verified via docs
Linux
Native Support
Verified via docs
macOS
Native Support
Verified via docs
Windows
Supported
Verified via docs
Docker
Docker Image
Verified via docs
03
Quick start
1
$ pip install pymaro
04
Use cases
↳Container Inventory Management in logistics
↳Bike Repositioning in transportation
↳Virtual Machine Provisioning in data centers
05
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