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microsoft/maro

⭐ 923 Python repository created 2019-12-27

The Microsoft MARO (Multi-Agent Resource Optimization) platform is a Reinforcement Learning as a Service (RaaS) designed to tackle real-world resource optimization problems across various industrial domains. It supports applications such as container inventory management in logistics, bike repositioning in transportation, virtual machine provisioning in data centers, and asset management in finance. MARO integrates reinforcement learning with other decision-making mechanisms like operations research to provide a comprehensive toolkit for resource optimization. The platform consists of three key components: a simulation toolkit, an RL toolkit, and a distributed toolkit. The simulation toolkit offers predefined scenarios and reusable components for building new scenarios, enabling users to model complex environments effectively. The RL toolkit provides a full-stack abstraction for reinforcement learning, including agent management, RL algorithms, learners, actors, and various shaping tools to facilitate the development and deployment of RL models. The distributed toolkit supports distributed communication, user-defined function interfaces for automatic message handling, cluster provisioning, and job orchestration, making it suitable for scalable and distributed applications. MARO is available as a Python package (pymaro) and can be installed via PyPI or from source, with support for Mac OS, Linux, and Windows. The platform includes example projects and quick-start notebooks to help users get started quickly. It also offers a playground environment for hands-on experience. The project is actively maintained with continuous integration workflows for testing, building, and vulnerability scanning. Overall, MARO is a versatile and powerful platform that leverages reinforcement learning and other optimization techniques to address complex resource management challenges in real-world industrial settings. Its modular design, comprehensive toolkits, and support for distributed computing make it a valuable resource for researchers and practitioners in the field of resource optimization and reinforcement learning.

https://github.com/microsoft/maro

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