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Jun, 2019
关于团队运动比赛中的多智能体学习
On Multi-Agent Learning in Team Sports Games
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Yunqi Zhao, Igor Borovikov, Jason Rupert, Caedmon Somers, Ahmad Beirami
TL;DR
本文提出了一种分层训练智能体的方法，以期在团队运动游戏中实现类似于人类的风格和高水平的表现，初步结果显示所提出的方法具有解决多智能体学习问题的潜力。
Abstract
In recent years,
reinforcement learning
has been successful in solving video games from Atari to Star Craft II. However, the end-to-end model-free
reinforcement learning
(RL) is not sample efficient and requires
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