Learning cooperative strategies in StarCraft through role-based monotonic value function factorization

Learning cooperative strategies in StarCraft through role-based monotonic value function factorization

StarCraft is a popular real-time strategy game that has been widely used as a research platform for artificial intelligence. Micromanagement refers to the process of making each unit perform appropriate actions separately, depending on the current state in the the multi-agent system comprising all o...

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Bibliographic Details
Main Authors: Kun Han, Feng Jiang, Haiqi Zhu, Mengxuan Shao, Ruyu Yan
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Electronic Research Archive
Subjects:
q-learning
multi-agent reinforcement learning
machine learning
artificial intelligence
starcraft multi-agent challenge
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2024037?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/era.2024037?viewType=HTML

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