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Updated: Jul 28, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
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AlphaZe:对于不完美的信息游戏而言,类似AlphaZero的基线令人惊地强大

Jannis Blüml1,2, Johannes Czech1, Kristian Kersting1,2,3

  • 1Artificial Intelligence and Machine Learning Lab, Technical University of Darmstadt, Darmstadt, Germany.

Frontiers in artificial intelligence
|May 30, 2023
PubMed
概括

深度神经网络现在适用于不完美的信息游戏. 在像Stratego这样的战略游戏中,AlphaZe**表现出强大的性能和适应性,挑战了以前的假设.

关键词:
在阿尔法Zero.蒙特卡洛树木搜索 在蒙特卡洛树木搜索深度神经网络是一个神经网络.不完美的信息游戏游戏.完美的信息蒙特卡罗的蒙特卡罗强化学习是一种强化学习.

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