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Geek.AI MAgent

Geek.AI MAgent

a platform to support research and development of many-agent reinforcement learning.

Geek.AI MAgent is a research platform for many-agent reinforcement learning (MARL). Unlike previous research platforms that focus on reinforcement learning research with a single agent or only few agents, MAgent aims at supporting reinforcement learning research that scales up from hundreds to millions of agents.



MAgent is able to host up to one million agents on a single GPU server. It provides environment/agent configurations and a reward description language to enable flexible environment design. Through this platform, Geek.AI has been able to demonstrate emerged collective intelligence by learning from scratch.





MAgent supports Linux and OS X running Python 2.7 or python 3 and is compatible with rule-based algorithms and deep learning frameworks.

About Geek.AI

Geek.AI is a joint research team the UK and China, with representatives from Shanghai Jiao Tong Unviersity and University College London. They are dedicated to fundamental research topics of multi-agent reinforcement learning and its potential for real-world applications through AI coordination, learning to communicate, reinforcement learning with massive numbers of agents, self-play, learning to design multi-agent environments, personality learning for AI agents, GANs for discrete data generation, and more.



Timeline

People

Name
Role
LinkedIn

Han Cai

Creator



Jiacheng Yang

Creator



Jun Wang

Creator



Lianmin Zheng

Creator



Weinan Zhang

Creator



Yong Yu

Creator



Further reading

Title
Author
Link
Type
Date

Cases for Applying Multi-Agent Reinforcement Learning -- Silo.AI

Zhen Li

Web



MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, Yong Yu

PDF



Documentaries, videos and podcasts

Title
Date
Link

A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

September 18, 2017

Companies

Company
CEO
Location
Products/Services









References